Triple

T24109852
Position Surface form Disambiguated ID Type / Status
Subject Uppingham School E597336 entity
Predicate hasArtDepartment P155095 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: [Uppingham School, hasArtDepartment, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasArtDepartment
Context triple: [Uppingham School, hasArtDepartment, yes]
  • A. hasArtCenter
    Indicates that an entity possesses, hosts, or includes an art center as one of its facilities or components.
  • B. hasArtisticDiscipline
    Indicates that one entity practices, specializes in, or is associated with a particular artistic discipline or field.
  • C. hasArtProgram
    Indicates that an entity offers or participates in an art-related educational or creative program.
  • D. hasArtSubjects
    Indicates that an entity is associated with one or more subjects or themes within the domain of art.
  • E. hasArtFeature
    Indicates that an entity possesses or is characterized by a particular artistic attribute, element, or stylistic feature.
  • 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_69e288c60f9c8190af948d7354aedbeb completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1de19ce048190aaa3b7b73db50e2f completed April 29, 2026, 10:31 a.m.
PD Predicate disambiguation batch_69f17651458c8190bbfd301883e46085 completed April 29, 2026, 3:09 a.m.
PDg Predicate description generation batch_69f17b58012c81909106b332db399023 completed April 29, 2026, 3:30 a.m.
Created at: April 17, 2026, 11:02 p.m.