Triple

T22765444
Position Surface form Disambiguated ID Type / Status
Subject Eusebio Francisco Kino E563110 entity
Predicate workLocation P7 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: [Eusebio Francisco Kino, workLocation, Sonora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sonora
Context triple: [Eusebio Francisco Kino, workLocation, Sonora]
  • A. Sonora
    Sonora is a small town in Kentucky known for its rural character and role as a local transportation junction.
  • B. 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.
  • C. 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.
  • 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_69e24552e11c81909c2d61578a558bd7 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17a80249c819091569e7b8d500b45 completed April 29, 2026, 3:26 a.m.
Created at: April 17, 2026, 3:26 p.m.