Triple

T11056032
Position Surface form Disambiguated ID Type / Status
Subject FEMSA E261378 entity
Predicate formerName P65 FINISHED
Object Cervecería Cuauhtémoc E556677 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: Cervecería Cuauhtémoc | Statement: [FEMSA, formerName, Cervecería Cuauhtémoc]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cervecería Cuauhtémoc
Context triple: [FEMSA, formerName, Cervecería Cuauhtémoc]
  • A. Cervecería Cuauhtémoc Moctezuma chosen
    Cervecería Cuauhtémoc Moctezuma is a major Mexican brewery, now part of Heineken, known for producing several of Mexico’s most popular beer brands for domestic and international markets.
  • B. Jaén brewery
    Jaén brewery is a Spanish beer production facility operated under the Heineken España group.
  • C. Don Julio
    Don Julio is a renowned premium tequila brand from Mexico, celebrated for pioneering luxury tequila and producing high-quality, 100% blue agave spirits.
  • D. Anna’s Taqueria
    Anna’s Taqueria is a popular Boston-area fast-casual Mexican restaurant chain known for its made-to-order burritos and tacos.
  • E. Tequila and Bonetti
    Tequila and Bonetti is an early-1990s American comedy-drama television series about a New York cop partnered with a talking police dog in a California beach town.
  • 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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d798a152b4819095b74a8996346077 completed April 9, 2026, 12:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3c86e0e6481908f091497313132c1 completed April 18, 2026, 6:07 p.m.
Created at: April 8, 2026, 9:26 p.m.