Triple

T7120333
Position Surface form Disambiguated ID Type / Status
Subject Church of North India E165931 entity
Predicate healthInstitutions P10262 FINISHED
Object operates hospitals and health centres 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: operates hospitals and health centres | Statement: [Church of North India, healthInstitutions, operates hospitals and health centres]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: healthInstitutions
Context triple: [Church of North India, healthInstitutions, operates hospitals and health centres]
  • A. healthSystem
    Indicates a relationship where an entity functions as, belongs to, or is managed within a particular health care system or network.
  • B. hasMedicalCenter chosen
    Indicates that an entity possesses, hosts, or is associated with a medical center facility.
  • C. 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).
  • D. numberOfHospitals
    Indicates the total count of hospitals associated with a given entity or within a specified context.
  • E. hasHealthcareInfrastructure
    Indicates that an entity possesses facilities, systems, and resources necessary to deliver healthcare services.
  • 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_69c6888227bc8190a1394679e3116f90 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e61ca6a88190a0eb9f287e3b723c completed March 27, 2026, 8:18 p.m.
PD Predicate disambiguation batch_69c6e1c7289881909f3b533c384f9ed4 completed March 27, 2026, 8 p.m.
Created at: March 27, 2026, 2:43 p.m.