Triple
T21305447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Okinoerabu Island |
E525184
|
entity |
| Predicate | hasSubtropicalVegetation |
P953
|
FINISHED |
| Object | yes |
—
|
LITERAL FINISHED |
How this triple was built (2 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: yes | Statement: [Okinoerabu Island, hasSubtropicalVegetation, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSubtropicalVegetation Context triple: [Okinoerabu Island, hasSubtropicalVegetation, yes]
-
A.
wasSubtropicalAtSomePoint
Indicates that an entity experienced subtropical climatic or environmental conditions during at least one period in its history.
-
B.
isTropical
Indicates that something belongs to, occurs in, or is characteristic of tropical regions or climates.
-
C.
vegetationType
chosen
Indicates the specific kind or category of plant cover or flora that characterizes a given area or environment.
-
D.
hasMediterraneanClimate
Indicates that a place experiences a Mediterranean climate, typically characterized by mild, wet winters and hot, dry summers.
-
E.
hasSecondaryBiome
Indicates that an entity is associated with an additional, subordinate biome type beyond its primary biome.
- F. None of above.
Provenance (3 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_69e0b518b8948190ad69cf9a8784d397 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e75aa3f90481909b212bdbf00c2bb0 |
completed | April 21, 2026, 11:08 a.m. |
| PD | Predicate disambiguation | batch_69e61612ab748190a72b8703b938abcb |
completed | April 20, 2026, 12:03 p.m. |
Created at: April 16, 2026, 4:05 p.m.