Triple
T38410147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ailsa Craig summit |
E901450
|
entity |
| Predicate | faunaNearby |
P34896
|
FINISHED |
| Object | gannets |
—
|
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: gannets | Statement: [Ailsa Craig summit, faunaNearby, gannets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: faunaNearby Context triple: [Ailsa Craig summit, faunaNearby, gannets]
-
A.
hasNearbyWildlife
chosen
Indicates that there is wildlife located close to or in the immediate vicinity of the referenced entity.
-
B.
faunaNote
Indicates a note or annotation specifically about animals or wildlife associated with an entity or context.
-
C.
fauna
Indicates that an entity is an animal or part of the animal life associated with a particular place or context.
-
D.
hasNearbyHabitats
Indicates that one entity has other habitats located close to it in geographic or spatial terms.
-
E.
typicalWildlifeObserved
Indicates that certain wildlife species are commonly or characteristically observed in a given area or context.
- 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_69f76e61e79c81908b787d83b46ab92b |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fcd1499e2c81909bafd84dc4810f45 |
completed | May 7, 2026, 5:52 p.m. |
| PD | Predicate disambiguation | batch_69fcccf024ec819086383ffbb6cfc036 |
completed | May 7, 2026, 5:33 p.m. |
Created at: May 3, 2026, 4:31 p.m.