Triple
T18549849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nunamiut Iñupiat |
E453341
|
entity |
| Predicate | materialUseOfCaribou |
P1272
|
FINISHED |
| Object | skins |
—
|
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: skins | Statement: [Nunamiut Iñupiat, materialUseOfCaribou, skins]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: materialUseOfCaribou Context triple: [Nunamiut Iñupiat, materialUseOfCaribou, skins]
-
A.
hasWildlifeUse
Indicates that something is used by or provides a functional role for wildlife, such as habitat, food, shelter, or other ecological benefits.
-
B.
materialUsed
chosen
Indicates that one entity is made from, incorporates, or utilizes the other entity as its material or substance.
-
C.
antlerType
Indicates the specific kind or classification of antlers that an entity possesses or is associated with.
-
D.
usesAnimalCarcass
Indicates that an entity makes use of an animal’s dead body or its remains for some purpose.
-
E.
hasTuskMaterial
Indicates that an entity’s tusks are made of, or composed from, a specified material.
- 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.