Triple

T15620109
Position Surface form Disambiguated ID Type / Status
Subject Baca County E375527 entity
Predicate namedAfter P63 FINISHED
Object Felipe Baca 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: Felipe Baca | Statement: [Baca County, namedAfter, Felipe Baca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Felipe Baca
Context triple: [Baca County, namedAfter, Felipe Baca]
  • A. Felipe Baca chosen
    Felipe Baca was a prominent 19th-century settler and rancher in what is now southeastern Colorado, recognized as an early community leader whose legacy is commemorated in the naming of Baca County.
  • B. Reynaldo Villalobos
    Reynaldo Villalobos is a cinematographer best known for his work on notable American films such as the comedy classic "9 to 5."
  • C. Jorge Romo
    Jorge Romo is a notable individual recognized for achievements significant enough to be associated with the surname Romo.
  • D. Joaquín Martínez
    Joaquín Martínez was a Mexican actor known for his character roles in American Western films and television during the 1960s and 1970s.
  • E. Luis Romo
    Luis Romo is a Mexican professional footballer known for his versatility as a defensive midfielder and defender, having played for clubs like Cruz Azul and Monterrey as well as the Mexico national team.
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e997ce481909b2f10d25705fbc6 completed April 16, 2026, 2:51 a.m.
Created at: April 10, 2026, 4:13 a.m.