Triple

T23038041
Position Surface form Disambiguated ID Type / Status
Subject Battle of Torreón E573660 entity
Predicate hasLocation P40 FINISHED
Object Torreón 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: Torreón | Statement: [Battle of Torreón, hasLocation, Torreón]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Torreón
Context triple: [Battle of Torreón, hasLocation, Torreón]
  • A. Torreón chosen
    Torreón is a major industrial and commercial city in northern Mexico known for its manufacturing, agriculture, and role as an economic hub in the state of Coahuila.
  • B. Santiago de Saltillo
    Santiago de Saltillo is the formal historical name of Saltillo, a major industrial and cultural city in northeastern Mexico and the capital of the state of Coahuila.
  • C. Monclova
    Monclova is an industrial city in northern Mexico known as a major steel-producing center in the state of Coahuila.
  • D. Ciudad Acuña
    Ciudad Acuña is a Mexican border city in Coahuila, known for its location across from Del Rio, Texas, and for serving as the primary filming location of Robert Rodriguez’s film "El Mariachi."
  • E. Irapuato
    Irapuato is a Mexican professional football club based in the city of Irapuato, Guanajuato, known for its passionate fan base and history in the country’s lower divisions.
  • 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_69e245b911188190bc3d96326c847969 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f185111f0881908991fcd6cdc7db9f completed April 29, 2026, 4:12 a.m.
Created at: April 17, 2026, 3:53 p.m.