Triple

T22403914
Position Surface form Disambiguated ID Type / Status
Subject Yaquis de Obregón E553831 entity
Predicate hasStrongFanBaseIn P54054 FINISHED
Object Sonora NE NERFINISHED

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: [Yaquis de Obregón, hasStrongFanBaseIn, Sonora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sonora
Context triple: [Yaquis de Obregón, hasStrongFanBaseIn, 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. Sonoyta, Sonora
    Sonoyta, Sonora is a small Mexican border town in the state of Sonora, situated near the U.S.–Mexico border opposite Lukeville, Arizona, and serving as a gateway to the Sonoran Desert region.
  • E. Navojoa, Sonora
    Navojoa, Sonora is a city in southern Sonora, Mexico, known as an important agricultural and commercial center in the Mayo River valley.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e4da7048190b4387d422a9a0de5 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f158b6762c8190991fc14c5ca8e609 completed April 29, 2026, 1:02 a.m.
Created at: April 16, 2026, 8:46 p.m.