Triple

T15248614
Position Surface form Disambiguated ID Type / Status
Subject Saint Barnabas Medical Center E364453 entity
Predicate isRegionalMedicalCenter P40338 FINISHED
Object yes LITERAL 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: yes | Statement: [Saint Barnabas Medical Center, isRegionalMedicalCenter, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isRegionalMedicalCenter
Context triple: [Saint Barnabas Medical Center, isRegionalMedicalCenter, yes]
  • A. designatedAsFlagshipHospitalFor
    Indicates that one hospital has been officially selected or recognized as the primary or leading flagship institution for another entity (such as a health system, region, or organization).
  • B. seatIsRegionalMedicalHub chosen
    Indicates that the administrative seat functions as a central hub for regional medical or healthcare services.
  • C. isPublicHospital
    Indicates that a hospital is owned, funded, or operated by a government or public authority rather than by private entities.
  • D. isPartOfAcademicMedicalCenter
    Indicates that an entity belongs to, is affiliated with, or operates as a component of a larger academic medical center.
  • E. servesAsPrimaryTeachingHospitalFor
    Indicates that one institution functions as the main clinical training and teaching site for another institution, typically a medical school or academic program.
  • F. None of above.

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_69d85a0dde7481908fc64d1e82d5d20d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007f62b9c8190b9ad40e2d1912b63 completed April 15, 2026, 9:49 p.m.
PD Predicate disambiguation batch_69deca899d5c8190be4a7c71e1683c69 completed April 14, 2026, 11:15 p.m.
Created at: April 10, 2026, 3:13 a.m.