Triple

T20274607
Position Surface form Disambiguated ID Type / Status
Subject Kids Design Glass E502977 entity
Predicate hostInstitutionSpecialty P104142 FINISHED
Object glass art museum 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: glass art museum | Statement: [Kids Design Glass, hostInstitutionSpecialty, glass art museum]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hostInstitutionSpecialty
Context triple: [Kids Design Glass, hostInstitutionSpecialty, glass art museum]
  • A. institutionSpecialization chosen
    Indicates that an institution focuses on, is dedicated to, or has expertise in a particular field, domain, or area of activity.
  • B. hasSpecialty
    Indicates that an entity possesses a particular area of expertise, focus, or professional specialization.
  • 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. hostsInstitution
    Indicates that one entity serves as the hosting location or organizing body for an institution.
  • E. isTeachingHospitalFor
    Indicates that one institution serves as a clinical training site or educational facility for another, typically a medical school or health education program.
  • 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_69e0b4b0e79c8190bd61f22ef1329fa8 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e675e30d4c8190a9e2d9efa0f741fc completed April 20, 2026, 6:52 p.m.
PD Predicate disambiguation batch_69e55b1e5e1c8190ba8a5544b1db9e1d completed April 19, 2026, 10:45 p.m.
Created at: April 16, 2026, 10:32 a.m.