Triple

T2888541
Position Surface form Disambiguated ID Type / Status
Subject 1986 FIFA World Cup E59563 entity
Predicate hostCity P1798 FINISHED
Object Irapuato E265167 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: Irapuato | Statement: [1986 FIFA World Cup, hostCity, Irapuato]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Irapuato
Context triple: [1986 FIFA World Cup, hostCity, Irapuato]
  • A. Irapuato chosen
    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.
  • B. Monclova
    Monclova is an industrial city in northern Mexico known as a major steel-producing center in the state of Coahuila.
  • C. 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).
  • D. Atlixco
    Atlixco is a historic city in the Mexican state of Puebla, known for its vibrant crafts tradition, flower production, and colonial architecture.
  • E. San Luis Potosí City
    San Luis Potosí City is the capital of the Mexican state of San Luis Potosí, known for its colonial architecture, mining history, and role as a cultural and economic center in north-central Mexico.
  • 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_69ab4ac739188190a112f42a5a69c951 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abe04918908190aad08defd1b26d97 completed March 7, 2026, 8:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6720e877481908d870653bbb09820 completed March 15, 2026, 8:47 a.m.
Created at: March 6, 2026, 10:03 p.m.