Triple

T2169078
Position Surface form Disambiguated ID Type / Status
Subject University of the Philippines Manila E46979 entity
Predicate teachingHospital P465 FINISHED
Object Philippine General Hospital E239802 NE FINISHED

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: Philippine General Hospital | Statement: [University of the Philippines Manila, teachingHospital, Philippine General Hospital]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Philippine General Hospital
Context triple: [University of the Philippines Manila, teachingHospital, Philippine General Hospital]
  • A. Philippine General Hospital chosen
    Philippine General Hospital is a major government-owned tertiary referral and teaching hospital in Manila, serving as the primary training and research hospital of the University of the Philippines’ health sciences programs.
  • B. National University Hospital
    National University Hospital is a major tertiary teaching hospital and academic medical center in Singapore, known for providing comprehensive specialist care and serving as a key clinical training site for medical education and research.
  • C. Tan Tock Seng Hospital
    Tan Tock Seng Hospital is one of Singapore’s largest and oldest public hospitals, renowned for its role in infectious disease management and as a major teaching and research institution.
  • D. UST Hospital
    UST Hospital is a major teaching and training hospital in Manila, Philippines, affiliated with the University of Santo Tomas and known for providing comprehensive medical and healthcare services.
  • 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.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: teachingHospital
Context triple: [University of the Philippines Manila, teachingHospital, Philippine General Hospital]
  • A. isTeachingHospitalFor chosen
    Indicates that one institution serves as a clinical training site or educational facility for another, typically a medical school or health education program.
  • B. servesAsPrimaryTeachingHospitalFor
    Indicates that one institution functions as the main clinical training and teaching site for another institution, typically a medical school or academic program.
  • C. hasResearchHospital
    Indicates that an entity possesses, is associated with, or operates a hospital facility dedicated to conducting medical or clinical research.
  • D. isPublicHospital
    Indicates that a hospital is owned, funded, or operated by a government or public authority rather than by private entities.
  • E. hasHospitalType
    Indicates that a hospital is classified as belonging to a specific type or category (e.g., general, specialized, teaching).
  • F. None of above.

Provenance (4 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_69a88a184cbc8190877791f6552c2484 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc1559ff481908efe3f214b2570dc completed March 7, 2026, 6:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5d9a74e081909d8945fe03c8d0fa completed March 9, 2026, 5:41 a.m.
PD Predicate disambiguation batch_69abbd9efc1c81909a65044a1ffc9038 completed March 7, 2026, 5:54 a.m.
Created at: March 4, 2026, 7:45 p.m.