Triple

T31625249
Position Surface form Disambiguated ID Type / Status
Subject Altnagelvin Area Hospital E807003 entity
Predicate hasCancerCentre P10262 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: [Altnagelvin Area Hospital, hasCancerCentre, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCancerCentre
Context triple: [Altnagelvin Area Hospital, hasCancerCentre, yes]
  • A. isComprehensiveCancerCenter
    Indicates that an institution has been officially designated as a comprehensive cancer center, meaning it meets rigorous standards for integrated cancer research, treatment, and education.
  • B. hasMedicalCenter chosen
    Indicates that an entity possesses, hosts, or is associated with a medical center facility.
  • C. hasResearchHospital
    Indicates that an entity possesses, is associated with, or operates a hospital facility dedicated to conducting medical or clinical research.
  • D. isClinicalCenter
    Indicates that an entity functions as a clinical center, typically serving as a site for clinical activities such as patient care, clinical trials, or medical research.
  • E. 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).
  • 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_69f348d7883c8190b6c13ab92b7ef076 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69fe9dfaa2d08190b2084f63f842eb6b completed May 9, 2026, 2:37 a.m.
PD Predicate disambiguation batch_69fe9bba947c81908b0b2b92a4d19b37 completed May 9, 2026, 2:28 a.m.
Created at: April 30, 2026, 10:43 p.m.