Triple

T30247108
Position Surface form Disambiguated ID Type / Status
Subject Cayuga, Ontario E769084 entity
Predicate hasLocalHealthcareFacility P72534 FINISHED
Object medical clinic (community level) 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: medical clinic (community level) | Statement: [Cayuga, Ontario, hasLocalHealthcareFacility, medical clinic (community level)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLocalHealthcareFacility
Context triple: [Cayuga, Ontario, hasLocalHealthcareFacility, medical clinic (community level)]
  • A. hasHealthCareInstitutionType
    Indicates that an entity is classified as a specific type or category of healthcare institution.
  • B. hasHealthcareProvider
    Indicates that one entity receives healthcare services or medical oversight from another entity acting as its healthcare provider.
  • C. hasMedicalCenter
    Indicates that an entity possesses, hosts, or is associated with a medical center facility.
  • D. hasHealthcareInfrastructure chosen
    Indicates that an entity possesses facilities, systems, and resources necessary to deliver healthcare services.
  • E. hasHealthcareServicesIn
    Indicates that a healthcare provider or organization offers or operates healthcare services within a specified location or area.
  • 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_69f224831dc08190b2e569b987264057 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69fd0b92f42881908cd77e3f058adcc2 completed May 7, 2026, 10 p.m.
PD Predicate disambiguation batch_69fd0a3d68d4819094d92040f7c48d7c completed May 7, 2026, 9:55 p.m.
Created at: April 29, 2026, 7:39 p.m.