Triple
T20476236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wampis |
E502324
|
entity |
| Predicate | closelyRelatedTo |
P37
|
FINISHED |
| Object | Aguaruna |
—
|
NE NERFINISHED |
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: Aguaruna | Statement: [Wampis, closelyRelatedTo, Aguaruna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aguaruna Context triple: [Wampis, closelyRelatedTo, Aguaruna]
-
A.
Aguaruna
chosen
Aguaruna are an Indigenous people of the Peruvian Amazon, known for their Jivaroan language, forest-based livelihoods, and strong traditions of autonomy and resistance.
-
B.
Sácama
Sácama is a small municipality located in the Casanare Department of eastern Colombia, known for its rural character and Andean–Orinoco transitional landscapes.
-
C.
Jucuna
Jucuna is an alternative name for the Yucuna language, an indigenous Arawakan language spoken in the Amazon region of Colombia.
-
D.
Achacachi
Achacachi is a town in Bolivia known as a commercial and cultural center of the Aymara people near Lake Titicaca.
-
E.
Guarequena
Guarequena is an alternative name for the Warekena language, an indigenous Arawakan language spoken in parts of Brazil and Venezuela.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4af32848190aea80682b44d5d6e |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6996584648190a1a6dfcb57782b7f |
completed | April 20, 2026, 9:23 p.m. |
Created at: April 16, 2026, 11:34 a.m.