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.