Triple

T9497313
Position Surface form Disambiguated ID Type / Status
Subject Soroka University Medical Center E229041 entity
Predicate hasPediatricDepartment P74281 FINISHED
Object true 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: true | Statement: [Soroka University Medical Center, hasPediatricDepartment, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPediatricDepartment
Context triple: [Soroka University Medical Center, hasPediatricDepartment, true]
  • A. hasPediatricHospital chosen
    Indicates that an entity possesses or is associated with a hospital facility that provides medical services specifically for children.
  • B. 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).
  • C. hasPharmacyDepartment
    Indicates that an entity includes or is associated with a dedicated pharmacy department or unit.
  • D. isPublicHospital
    Indicates that a hospital is owned, funded, or operated by a government or public authority rather than by private entities.
  • 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_69ca84753660819098e8d416e89e26ae completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd95ecf4148190aa8f4733980166ae completed April 1, 2026, 10:02 p.m.
PD Predicate disambiguation batch_69cca5651a588190a3cfebe249a223e5 completed April 1, 2026, 4:56 a.m.
Created at: March 30, 2026, 7:56 p.m.