Triple

T13664360
Position Surface form Disambiguated ID Type / Status
Subject Luis Hernández E327077 entity
Predicate memberOfSportsTeam P330 FINISHED
Object Monterrey E8316 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: Monterrey | Statement: [Luis Hernández, memberOfSportsTeam, Monterrey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monterrey
Context triple: [Luis Hernández, memberOfSportsTeam, Monterrey]
  • A. Monterrey chosen
    Monterrey is a major industrial and economic hub in northeastern Mexico, known for its modern skyline, strong manufacturing base, and role as a center of business and education.
  • B. Monterrey
    Monterrey is a municipality in the Casanare Department of eastern Colombia, known for its cattle ranching, oil-related activities, and llanero (plains) culture.
  • 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. Irapuato
    Irapuato is a city in the Mexican state of Guanajuato known for its agricultural production, especially strawberries, and its role as an important regional economic center.
  • E. Veracruz City
    Veracruz City is a historic port city on the Gulf of Mexico known as one of Mexico’s oldest and most important maritime and commercial hubs.
  • 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_69d8076d8270819092afc2f0e9c359a8 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc622a07c81909ef7fb55e719dd9a completed April 12, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8c49e9c819088e6e98aa53d05fa completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 9:52 p.m.