Triple

T53229
Position Surface form Disambiguated ID Type / Status
Subject Newton-Wellesley Hospital E1047 entity
Predicate providesCareSetting P3296 FINISHED
Object inpatient care 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: inpatient care | Statement: [Newton-Wellesley Hospital, providesCareSetting, inpatient care]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: providesCareSetting
Context triple: [Newton-Wellesley Hospital, providesCareSetting, inpatient care]
  • A. isTeachingHospitalFor
    Indicates that one institution serves as a clinical training site or educational facility for another, typically a medical school or health education program.
  • B. servesAsPrimaryTeachingHospitalFor
    Indicates that one institution functions as the main clinical training and teaching site for another institution, typically a medical school or academic program.
  • C. eligibilityCriteria
    Indicates the conditions or requirements that must be satisfied for an entity to qualify for or be considered eligible for something.
  • D. areaServed
    Indicates the geographic region or jurisdiction within which a service, organization, or activity is provided or applicable.
  • E. sectorServed
    Indicates the industry or economic sector that an entity primarily serves or targets with its activities, products, or services.
  • F. None of above. chosen

Provenance (4 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_69a2480baefc81909951b14058479aa2 completed Feb. 28, 2026, 1:42 a.m.
NER Named-entity recognition batch_69a24c709c248190bcd442c8d508e48c completed Feb. 28, 2026, 2:01 a.m.
PD Predicate disambiguation batch_69a24ac3c8dc819099849023bdaa35a9 completed Feb. 28, 2026, 1:54 a.m.
PDg Predicate description generation batch_69a24c6ff0588190b0fd864da9aa8569 completed Feb. 28, 2026, 2:01 a.m.
Created at: Feb. 28, 2026, 1:47 a.m.