Triple
T1128897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ogasawara Islands |
E24781
|
entity |
| Predicate | hasFloraFaunaCharacteristic |
P22447
|
FINISHED |
| Object | many endemic species |
—
|
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: many endemic species | Statement: [Ogasawara Islands, hasFloraFaunaCharacteristic, many endemic species]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFloraFaunaCharacteristic Context triple: [Ogasawara Islands, hasFloraFaunaCharacteristic, many endemic species]
-
A.
hasBiodiversityFeature
chosen
Indicates that an entity possesses or is associated with a specific biodiversity-related characteristic, attribute, or element.
-
B.
designatedAsWildlifeRefuge
Indicates that an area has been officially assigned the status and protections of a wildlife refuge.
-
C.
isMajorHabitatFor
Indicates that one entity serves as a primary or significant natural living environment for another entity.
-
D.
hasUNESCOBiosphereReserve
Indicates that an entity includes, contains, or is associated with a designated UNESCO Biosphere Reserve.
-
E.
hasNatureDesignation
Indicates that something has been formally assigned a specific conservation, protection, or natural-area status or designation.
- 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_69a4940712c88190aa244f3fc6070a65 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bc4bc21881909dcfe628f59f3e8c |
completed | March 1, 2026, 10:23 p.m. |
| PD | Predicate disambiguation | batch_69a4bb48de2081909a0dce005b1c9df1 |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:44 p.m.