Triple

T10825554
Position Surface form Disambiguated ID Type / Status
Subject Qikiqtani General Hospital E255489 entity
Predicate hasOutpatientCare P82392 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: [Qikiqtani General Hospital, hasOutpatientCare, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasOutpatientCare
Context triple: [Qikiqtani General Hospital, hasOutpatientCare, yes]
  • A. hasAmbulatory chosen
    Indicates that an entity possesses or is provided with ambulatory (walking or outpatient) capabilities or services.
  • B. hasHealthcareProvider
    Indicates that one entity receives healthcare services or medical oversight from another entity acting as its healthcare provider.
  • C. hasEmergencyCare
    Indicates that an entity provides or is equipped with emergency medical care services for another entity or individuals.
  • D. hasClinicalService
    Indicates that an entity provides, offers, or is associated with a specific clinical service.
  • E. hasDischarge
    Indicates that one entity releases, emits, or expels a substance, energy, or flow from itself.
  • 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_69d6aa8081448190a9324184f2bd1c26 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d734d0389c819090a892693c4046ed completed April 9, 2026, 5:10 a.m.
PD Predicate disambiguation batch_69d70d1bf3648190b36fa96ea018e0dc completed April 9, 2026, 2:21 a.m.
Created at: April 8, 2026, 9:19 p.m.