Triple
T10876281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malesia |
E256805
|
entity |
| Predicate | hasFloraRegion |
P83264
|
FINISHED |
| Object |
Malesian floristic region
The Malesian floristic region is a major biogeographical area in Southeast Asia characterized by exceptionally rich tropical rainforest biodiversity spanning the Malay Peninsula, Indonesia, New Guinea, and surrounding islands.
|
E135956
|
NE FINISHED |
How this triple was built (5 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Malesian floristic region | Statement: [Malesia, hasFloraRegion, Malesian floristic region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malesian floristic region Context triple: [Malesia, hasFloraRegion, Malesian floristic region]
-
A.
Indomalayan realm
The Indomalayan realm is a major biogeographic region of South and Southeast Asia characterized by tropical and subtropical forests with high biodiversity and many endemic species.
-
B.
Palawan faunal region
The Palawan faunal region is a biogeographic area in the western Philippines characterized by a mix of Sundaic and Philippine wildlife, hosting several endemic and regionally distinct animal species.
-
C.
Sundaland
Sundaland is a biogeographical region of Southeast Asia comprising the Malay Peninsula and the western Indonesian islands, known for its high biodiversity and past exposure as a contiguous landmass during periods of low sea level.
-
D.
Negros biogeographic region
The Negros biogeographic region is a distinct ecological area in the central Philippines centered on Negros Island, known for its high biodiversity, endemic species, and remaining patches of tropical forest.
-
E.
Southeast Asian rainforests
Southeast Asian rainforests are vast, biodiverse tropical forests known for their rich ecosystems, high rainfall, and critical role in global climate regulation.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Malesian floristic region Triple: [Malesia, hasFloraRegion, Malesian floristic region]
Generated description
The Malesian floristic region is a major biogeographical area in Southeast Asia characterized by exceptionally rich tropical rainforest biodiversity spanning the Malay Peninsula, Indonesia, New Guinea, and surrounding islands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Malesian floristic region Target entity description: The Malesian floristic region is a major biogeographical area in Southeast Asia characterized by exceptionally rich tropical rainforest biodiversity spanning the Malay Peninsula, Indonesia, New Guinea, and surrounding islands.
-
A.
Indomalayan realm
chosen
The Indomalayan realm is a major biogeographic region of South and Southeast Asia characterized by tropical and subtropical forests with high biodiversity and many endemic species.
-
B.
Palawan faunal region
The Palawan faunal region is a biogeographic area in the western Philippines characterized by a mix of Sundaic and Philippine wildlife, hosting several endemic and regionally distinct animal species.
-
C.
Sundaland
Sundaland is a biogeographical region of Southeast Asia comprising the Malay Peninsula and the western Indonesian islands, known for its high biodiversity and past exposure as a contiguous landmass during periods of low sea level.
-
D.
Negros biogeographic region
The Negros biogeographic region is a distinct ecological area in the central Philippines centered on Negros Island, known for its high biodiversity, endemic species, and remaining patches of tropical forest.
-
E.
Southeast Asian rainforests
Southeast Asian rainforests are vast, biodiverse tropical forests known for their rich ecosystems, high rainfall, and critical role in global climate regulation.
- F. None of above.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFloraRegion Context triple: [Malesia, hasFloraRegion, Malesian floristic region]
-
A.
hasFloraGroup
Indicates that an entity is associated with, contains, or is characterized by a particular group or category of plant life.
-
B.
hasRegionalFlower
Indicates that a region is associated with a specific flower designated as its symbolic or representative flower.
-
C.
associatedFlora
chosen
Indicates a relationship where specific plants or vegetation are characteristically linked to, occur with, or are commonly found in association with a given entity or environment.
-
D.
hasRegion
Indicates that an entity includes, contains, or is associated with a specific geographic or administrative region as part of its scope or structure.
-
E.
hasMajorEcoregion
Indicates that an entity is primarily located within, or chiefly associated with, a particular major ecological region.
- F. None of above.
Provenance (6 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6aa848804819081b2713ca0bedf06 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d751ac901881909938cabe4d21bdbf |
completed | April 9, 2026, 7:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e154d8f9b881908025acc6ff1beb9f |
completed | April 16, 2026, 9:30 p.m. |
| NEDg | Description generation | batch_69e16e3e9f448190a6b42b446818000c |
completed | April 16, 2026, 11:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e17020d2b4819084283955b2ec2b29 |
completed | April 16, 2026, 11:26 p.m. |
| PD | Predicate disambiguation | batch_69d70d360c388190a3d829fe8862434f |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:21 p.m.