Triple
T18549848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nunamiut Iñupiat |
E453341
|
entity |
| Predicate | foodUseOfCaribou |
P91371
|
FINISHED |
| Object | meat |
—
|
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: meat | Statement: [Nunamiut Iñupiat, foodUseOfCaribou, meat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foodUseOfCaribou Context triple: [Nunamiut Iñupiat, foodUseOfCaribou, meat]
-
A.
usedAsFood
chosen
Indicates that one entity is consumed or intended to be consumed as food by another entity.
-
B.
containsSpeciesUsedForFood
Indicates that something includes one or more species that are used as a source of food.
-
C.
culinaryUse
Indicates that one entity is used in the preparation, flavoring, or serving of food or drink for another entity.
-
D.
hasWildlifeUse
Indicates that something is used by or provides a functional role for wildlife, such as habitat, food, shelter, or other ecological benefits.
-
E.
livestockUse
Indicates how an entity is used or managed in relation to livestock, such as for raising, feeding, housing, or supporting livestock activities.
- 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_69d8d388b0c881908e610a1c45b52640 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e534beeb408190a03f6d7c3f2ef389 |
completed | April 19, 2026, 8:02 p.m. |
| PD | Predicate disambiguation | batch_69e469e274a48190a570b25cfef4d890 |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 11:38 a.m.