Triple
T8709522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agattu Island |
E206738
|
entity |
| Predicate | hasImportantFauna |
P22447
|
FINISHED |
| Object | seabirds |
—
|
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: seabirds | Statement: [Agattu Island, hasImportantFauna, seabirds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasImportantFauna Context triple: [Agattu Island, hasImportantFauna, seabirds]
-
A.
hasBiodiversitySignificance
Indicates that something possesses ecological importance due to the variety, rarity, or conservation value of the species and habitats it supports.
-
B.
hasEndemicSpecies
Indicates that a place or region contains species that are native to and found only within that specific geographic area.
-
C.
hasBiodiversityFeature
chosen
Indicates that an entity possesses or is associated with a specific biodiversity-related characteristic, attribute, or element.
-
D.
hasWildlifeStatus
Indicates the conservation or protection status assigned to wildlife associated with an entity.
-
E.
hasProtectedSpecies
Indicates that the subject contains, supports, or is associated with one or more species that are legally or formally designated as protected.
- 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_69ca835645e881908f00e3c8b51da81d |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5c2e9c688190aceefaa2c3b7d7bd |
completed | March 31, 2026, 11:43 p.m. |
| PD | Predicate disambiguation | batch_69cc456bda508190a9aa0fb92760739e |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:35 p.m.