Triple

T10747348
Position Surface form Disambiguated ID Type / Status
Subject State of Nayarit E253484 entity
Predicate bordersState P224 FINISHED
Object Sinaloa E28571 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: Sinaloa | Statement: [State of Nayarit, bordersState, Sinaloa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sinaloa
Context triple: [State of Nayarit, bordersState, Sinaloa]
  • A. Sinaloa chosen
    Sinaloa is a state in northwestern Mexico known for its fertile agricultural lands, Pacific coastline, and significant role in the country's cultural and economic life.
  • B. Nayarit
    Nayarit is a small Pacific-coast state in western Mexico known for its beaches, coastal resorts, and diverse mountainous and tropical landscapes.
  • C. Sonora
    Sonora is a large northwestern Mexican state bordering the United States, known for its desert landscapes, cattle ranching, and significant industrial and agricultural production.
  • D. 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.
  • E. Sonora
    Sonora is a small town in Kentucky known for its rural character and role as a local transportation junction.
  • 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_69d6aa5e51e8819095f06881cecf152e completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d711b9242c81908dbf3fa155159b3c completed April 9, 2026, 2:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69de230b461c81909a98085079676b95 completed April 14, 2026, 11:20 a.m.
Created at: April 8, 2026, 9:15 p.m.