Triple

T16289150
Position Surface form Disambiguated ID Type / Status
Subject Papago E395471 entity
Predicate primaryStateOrRegion P115061 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: [Papago, primaryStateOrRegion, Sonora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sonora
Context triple: [Papago, primaryStateOrRegion, 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_69d87f22c7248190a54c949738441e2e completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e249175e24819082e571039e278056 completed April 17, 2026, 2:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001f94ede48190835e8a0c6f5d0f19 completed May 10, 2026, 6:03 a.m.
Created at: April 10, 2026, 5:05 a.m.