Triple

T2957360
Position Surface form Disambiguated ID Type / Status
Subject Cora E79964 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, hasDialect, Rosarito Cora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rosarito Cora
Context triple: [Cora, hasDialect, Rosarito Cora]
  • A. 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.
  • B. 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.
  • C. Santa Teresa Cora chosen
    Santa Teresa Cora is a regional dialect of the Cora language spoken by the indigenous Cora people of western Mexico.
  • D. Santa Rosalía
    Santa Rosalía is a historic mining town and port on the eastern coast of the Baja California Peninsula in Mexico, known for its French-influenced architecture and copper mining heritage.
  • E. Amada Cruz
    Amada Cruz is an American museum director and arts administrator known for leading major art institutions, including serving as director of the Seattle Art Museum.
  • 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_69ad8b1276588190a374a0b12e0f7bdf completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad992b33e081909d22a19d5064c47d completed March 8, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69b108de7e3c81908b1fee310515e4c1 completed March 11, 2026, 6:17 a.m.
Created at: March 8, 2026, 2:57 p.m.