Triple
T38663766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monkey Buffet Festival |
E940399
|
entity |
| Predicate | animalSpeciesInvolved |
P114776
|
FINISHED |
| Object | long-tailed macaque |
—
|
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: long-tailed macaque | Statement: [Monkey Buffet Festival, animalSpeciesInvolved, long-tailed macaque]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: animalSpeciesInvolved Context triple: [Monkey Buffet Festival, animalSpeciesInvolved, long-tailed macaque]
-
A.
involvedAnimal
chosen
Indicates that an animal participates in, is affected by, or is otherwise directly connected to the event or situation described.
-
B.
animalForm
Indicates that one entity takes the shape, body, or characteristics of an animal.
-
C.
speciesHome
Indicates that a particular location serves as the natural habitat or primary living environment for a given species.
-
D.
someSpeciesAre
Indicates that at least one member of a specified group or category belongs to, or can be classified as, a particular species.
-
E.
rearsSpecies
Indicates that one entity raises, breeds, or cultivates individuals belonging to a particular species.
- 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_69f76edfde348190bf6529d9f49ecd62 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdfbc71c481908ba7f87907b17782 |
completed | May 7, 2026, 6:53 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe580b8819087f143596b2c79c0 |
completed | May 7, 2026, 6:37 p.m. |
Created at: May 3, 2026, 4:33 p.m.