Triple

T13427565
Position Surface form Disambiguated ID Type / Status
Subject Cora language E313521 entity
Predicate hasDialect P4251 FINISHED
Object Rosarito Cora E313524 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: Rosarito Cora | Statement: [Cora language, hasDialect, Rosarito Cora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rosarito Cora
Context triple: [Cora language, hasDialect, Rosarito Cora]
  • A. Encinas Cruz
    Encinas Cruz is the compound Spanish surname shared by actress Penélope Cruz and Javier Bardem’s daughter, Luna.
  • B. Salina Cruz
    Salina Cruz is a major Pacific port city in southern Mexico known for its strategic role in maritime trade and the oil industry.
  • C. Autlán de Navarro
    Autlán de Navarro is a municipality and city in the Mexican state of Jalisco, known for its agricultural economy and traditional cultural festivities.
  • D. Santa Teresa Cora chosen
    Santa Teresa Cora is a regional dialect of the Cora language spoken by the indigenous Cora people of western Mexico.
  • E. Clarita
    Clarita is a Spanish diminutive form of the given name Clara, often used as an affectionate or familiar variant.
  • 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_69d806ad0c44819088833ae1ec9e9690 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaed1f9208190bf5ef5b8a7ded376 completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7398984f48190adaa1963d261d538 completed May 3, 2026, 12:03 p.m.
Created at: April 9, 2026, 9:40 p.m.