Triple

T7786873
Position Surface form Disambiguated ID Type / Status
Subject Santos Laguna E187267 entity
Predicate rival P437 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: [Santos Laguna, rival, Monterrey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monterrey
Context triple: [Santos Laguna, rival, 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. 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.
  • E. Toluca
    Toluca is a major city and the capital of the State of Mexico, known for its high altitude, industrial activity, and proximity to the Nevado de Toluca volcano.
  • 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_69ca82af2d2c8190963861f5e0b8bf21 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cadf2462248190863f838f0e077923 completed March 30, 2026, 8:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb139fdf188190b1c80dd6d008c34d completed March 31, 2026, 12:21 a.m.
Created at: March 30, 2026, 4:24 p.m.