Triple
T5165539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Peru |
E116541
|
entity |
| Predicate | hasIndigenousLanguages |
P5562
|
FINISHED |
| Object | Awajún |
E256708
|
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: Awajún | Statement: [Northern Peru, hasIndigenousLanguages, Awajún]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Awajún Context triple: [Northern Peru, hasIndigenousLanguages, Awajún]
-
A.
Awajún
chosen
Awajún are an Indigenous people of the Peruvian Amazon known for their distinct language, rich oral traditions, and long history of resistance to outside domination.
-
B.
Awaswas
Awaswas is an extinct Ohlone (Costanoan) Native American language once spoken along the central coast of California.
-
C.
Kaska
Kaska is an Athabaskan Indigenous language traditionally spoken by the Kaska Dena people of northern Canada, primarily in the Yukon and northern British Columbia.
-
D.
Okitipupa
Okitipupa is a prominent town in southwestern Nigeria known as a commercial and administrative center within Ondo State.
-
E.
Fiambalá
Fiambalá is a small town in northwestern Argentina known for its high-altitude vineyards, desert landscapes, and nearby Andean mountain passes.
- 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_69bd445edb3881909b93b34d260717fc |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd792af4648190934cf2db523f6921 |
completed | March 20, 2026, 4:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bed937bd8c81909569f7205044aa5a |
completed | March 21, 2026, 5:45 p.m. |
Created at: March 20, 2026, 1:44 p.m.