Triple
T6776967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apurinã language |
E155581
|
entity |
| Predicate | autonym |
P1435
|
FINISHED |
| Object | Ipurinã |
E598486
|
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: Ipurinã | Statement: [Apurinã language, autonym, Ipurinã]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ipurinã Context triple: [Apurinã language, autonym, Ipurinã]
-
A.
Guapimirim
Guapimirim is a municipality in the state of Rio de Janeiro, Brazil, known for its mountainous landscapes and protected natural areas near Guanabara Bay.
-
B.
Pirassununga
Pirassununga is a municipality in the state of São Paulo, Brazil, known for its agricultural activities and as a site of a major University of São Paulo campus.
-
C.
Puruborá
chosen
Puruborá is an indigenous language of Brazil belonging to the Tupian family, traditionally spoken by the Puruborá people of the Amazon region.
-
D.
Quixeramobim
Quixeramobim is a municipality in northeastern Brazil known for its semi-arid landscape and agricultural activities within the state of Ceará.
-
E.
Itapevi
Itapevi is a municipality in the metropolitan region of São Paulo, Brazil, known for its growing industrial sector and residential expansion.
- 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_69c688162bf8819088b664b5c3b5be7a |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d26725208190b64935cfd08b2aff |
completed | March 27, 2026, 6:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c712cc9ff08190bb7ec0bf4cc4db01 |
completed | March 27, 2026, 11:29 p.m. |
Created at: March 27, 2026, 2:13 p.m.