Triple

T8363735
Position Surface form Disambiguated ID Type / Status
Subject Laguna Region E197070 entity
Predicate hasCity P316 FINISHED
Object Torreón E249379 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: Torreón | Statement: [Laguna Region, hasCity, Torreón]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Torreón
Context triple: [Laguna Region, hasCity, 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 (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_69ca82f2dbe48190aba982e75a0d94de completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb808a67f88190849152102bfeb574 completed March 31, 2026, 8:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cf27cace5c8190b871c632a075cb0a completed April 3, 2026, 2:36 a.m.
Created at: March 30, 2026, 6 p.m.