Triple
T16772876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cucapá |
E407645
|
entity |
| Predicate | hasNameVariant |
P457
|
FINISHED |
| Object | Cocopa |
E91836
|
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: Cocopa | Statement: [Cucapá, hasNameVariant, Cocopa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cocopa Context triple: [Cucapá, hasNameVariant, Cocopa]
-
A.
Cochimí
Cochimí were an Indigenous people of the Baja California Peninsula in Mexico, known for their distinct language and traditional hunter-gatherer lifestyle.
-
B.
Tepehuan
The Tepehuan are an Indigenous people of northern Mexico, known for their distinct Uto-Aztecan language, traditional agriculture, and communities in the Sierra Madre Occidental.
-
C.
Mizque
Mizque is a small historic town and agricultural center in central Bolivia, known for its colonial architecture and fertile valleys within the Cochabamba region.
-
D.
Cajidiocan
Cajidiocan is a coastal municipality located on Sibuyan Island in the province of Romblon in the Philippines.
-
E.
U.S. Cocopa
chosen
U.S. Cocopa is a regional dialect of the Cocopa language spoken by Cocopah communities in the United States.
- 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_69d8839270588190886720d9519bbf8f |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b037c5708190ba604e7707b5a8a2 |
completed | April 18, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a5361c3881909be0fb9b83a59993 |
completed | May 10, 2026, 3:33 p.m. |
Created at: April 10, 2026, 5:21 a.m.