Triple
T2353763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jivaroan |
E47506
|
entity |
| Predicate | hasMemberLanguage |
P7390
|
FINISHED |
| Object | Aguaruna |
E257472
|
NE 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: Aguaruna | Statement: [Jivaroan, hasMemberLanguage, Aguaruna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aguaruna Context triple: [Jivaroan, hasMemberLanguage, 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.
Huitoto (Witoto)
The Huitoto (Witoto) are an Indigenous people of the northwestern Amazon rainforest, known for their complex cosmology, ritual use of coca and tobacco, and traditional longhouse communal life.
-
C.
Ouahigouya
Ouahigouya is a major city in northern Burkina Faso known as an important commercial and administrative center of the region.
-
D.
Cauqui
Cauqui is an indigenous Aymaran language variety spoken by a small community in the Andean region of Peru.
-
E.
Yaguachi
Yaguachi is a town and canton in coastal Ecuador known for its agricultural economy and location within Guayas Province.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a88a1b678c8190bce986922ba60ce0 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc6fa6ecc8190821c9d5db341cf19 |
completed | March 7, 2026, 6:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aebf2eb7a88190b421df42acbd974b |
completed | March 9, 2026, 12:38 p.m. |
Created at: March 4, 2026, 7:54 p.m.