Triple

T2094949
Position Surface form Disambiguated ID Type / Status
Subject Coahuila y Tejas E32759 entity
Predicate capital P234 FINISHED
Object Monclova E282019 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: Monclova | Statement: [Coahuila y Tejas, capital, Monclova]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monclova
Context triple: [Coahuila y Tejas, capital, Monclova]
  • A. Monclova chosen
    Monclova is an industrial city in northern Mexico known as a major steel-producing center in the state of Coahuila.
  • B. Celaya
    Celaya is a major city and industrial municipality in the Mexican state of Guanajuato, known for its manufacturing sector and traditional cajeta (goat’s milk caramel).
  • C. 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.
  • D. Zacatecas City
    Zacatecas City is a historic colonial city in north-central Mexico, renowned for its silver-mining heritage, baroque architecture, and UNESCO-listed historic center.
  • E. Torreón
    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.
  • 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_69a885eba0708190999696a45cbec816 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abba99ddc48190bb2097b56efb7aca completed March 7, 2026, 5:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69b24a9a49e481908f1916cbff31d908 completed March 12, 2026, 5:09 a.m.
Created at: March 4, 2026, 7:43 p.m.