Triple
T10491509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Puyo |
E247429
|
entity |
| Predicate | hasNearbyIndigenousGroups |
P86469
|
FINISHED |
| Object | Achuar |
E260238
|
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: Achuar | Statement: [Puyo, hasNearbyIndigenousGroups, Achuar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Achuar Context triple: [Puyo, hasNearbyIndigenousGroups, Achuar]
-
A.
Achuar-Shiwiar
chosen
Achuar-Shiwiar is an indigenous Jivaroan language spoken by the Achuar and Shiwiar peoples of the Amazon rainforest in Ecuador and Peru.
-
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.
Orocué
Orocué is a small Colombian town and municipality located in the eastern plains region, known for its cattle ranching and proximity to the Meta River.
-
D.
Aucas
Aucas is an Ecuadorian professional football club based in Quito, known for competing in the country’s top division.
-
E.
Achacachi
Achacachi is a town in Bolivia known as a commercial and cultural center of the Aymara people near Lake Titicaca.
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5190da7f081908c38b5964a567e37 |
completed | April 7, 2026, 2:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dca37b0881908ced885d9853bc1b |
completed | April 10, 2026, 11:18 a.m. |
Created at: April 6, 2026, 12:24 p.m.