Triple

T23240663
Position Surface form Disambiguated ID Type / Status
Subject Universidad Autónoma del Estado de Hidalgo E581431 entity
Predicate hasNearbyFacility P5648 FINISHED
Object Hospital General de Pachuca NE NERFINISHED

How this triple was built (3 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: Hospital General de Pachuca | Statement: [Universidad Autónoma del Estado de Hidalgo, hasNearbyFacility, Hospital General de Pachuca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hospital General de Pachuca
Context triple: [Universidad Autónoma del Estado de Hidalgo, hasNearbyFacility, Hospital General de Pachuca]
  • A. Hospital Español de México
    Hospital Español de México is a major private medical center in Mexico City known for providing comprehensive healthcare services and advanced medical specialties.
  • B. Hospital México
    Hospital México is a major public hospital in San José, Costa Rica, known for providing specialized and high-complexity medical care.
  • C. Hospital General La Villa
    Hospital General La Villa is a public general hospital in Mexico City that serves as a key healthcare facility for residents in the northern part of the city.
  • D. Hospital de Jesús Nazareno, Mexico City
    Hospital de Jesús Nazareno in Mexico City is a historic colonial-era hospital founded by Hernán Cortés, notable as one of the oldest medical institutions in the Americas and the site of Cortés’s burial.
  • E. Centro Médico
    Centro Médico is a major Mexico City Metro transfer station and transit hub serving both Line 3 and Line 9 near the National Medical Center.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hospital General de Pachuca
Target entity description: Hospital General de Pachuca is a major public healthcare institution in Pachuca, Hidalgo, Mexico, providing comprehensive medical and surgical services to the regional population.
  • A. Hospital Español de México
    Hospital Español de México is a major private medical center in Mexico City known for providing comprehensive healthcare services and advanced medical specialties.
  • B. Hospital México
    Hospital México is a major public hospital in San José, Costa Rica, known for providing specialized and high-complexity medical care.
  • C. Hospital General La Villa
    Hospital General La Villa is a public general hospital in Mexico City that serves as a key healthcare facility for residents in the northern part of the city.
  • D. Hospital de Jesús Nazareno, Mexico City
    Hospital de Jesús Nazareno in Mexico City is a historic colonial-era hospital founded by Hernán Cortés, notable as one of the oldest medical institutions in the Americas and the site of Cortés’s burial.
  • E. Centro Médico
    Centro Médico is a major Mexico City Metro transfer station and transit hub serving both Line 3 and Line 9 near the National Medical Center.
  • F. None of above. chosen

Provenance (2 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_69e2460556f88190be1744a84a84173f completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f192edd974819093a57456e7b12a03 completed April 29, 2026, 5:11 a.m.
Created at: April 17, 2026, 4:10 p.m.