Triple
T14815221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yaqui people |
E348294
|
entity |
| Predicate | nativeTo |
P410
|
FINISHED |
| Object | Sonora |
E30806
|
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: Sonora | Statement: [Yaqui people, nativeTo, Sonora]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sonora Context triple: [Yaqui people, nativeTo, Sonora]
-
A.
Sonora
chosen
Sonora is a large northwestern Mexican state bordering the United States, known for its desert landscapes, cattle ranching, and significant industrial and agricultural production.
-
B.
Sonora
Sonora is a small historic city in California’s Sierra Nevada foothills known for its Gold Rush heritage and role as a regional hub for tourism and outdoor recreation.
-
C.
Sonora
Sonora is a small town in Kentucky known for its rural character and role as a local transportation junction.
-
D.
Navojoa, Sonora
Navojoa, Sonora is a city in southern Sonora, Mexico, known as an important agricultural and commercial center in the Mayo River valley.
-
E.
Mexicali Valley
Mexicali Valley is a major agricultural region in northern Baja California, Mexico, known for its extensive irrigated farmlands and proximity to the U.S.–Mexico border.
- 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_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decfe0e89c81908c0e1fe2bc3ebcfc |
completed | April 14, 2026, 11:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe389598848190ba15e6eea2ba2903 |
completed | May 8, 2026, 7:25 p.m. |
Created at: April 10, 2026, 1:49 a.m.