Triple

T5312091
Position Surface form Disambiguated ID Type / Status
Subject The Tailor of Gloucester E119053 entity
Predicate hasPhysicalObject P53051 FINISHED
Object original manuscript in the Victoria and Albert 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: original manuscript in the Victoria and Albert Museum | Statement: [The Tailor of Gloucester, hasPhysicalObject, original manuscript in the Victoria and Albert Museum]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPhysicalObject
Context triple: [The Tailor of Gloucester, hasPhysicalObject, original manuscript in the Victoria and Albert Museum]
  • A. hasPhysicalNature
    Indicates that one entity possesses or exhibits a specific physical form, composition, or material nature in relation to another.
  • B. isPhysicalArtifact
    Indicates that the subject is a tangible, man-made object that physically exists in the real world.
  • C. hasPhysicalFootprint
    Indicates that one entity occupies or affects a specific physical area or space in the real world.
  • D. hasPhysicalMedium chosen
    Indicates that one entity serves as the tangible carrier or material form through which another entity exists, is stored, or is transmitted.
  • E. hasRealModel
    Indicates that an abstract, theoretical, or simplified entity is associated with a corresponding concrete or physically instantiated model in the real world.
  • 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_69bd446b57bc8190a513d2e6c40314f3 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd86f20f008190be7b5848af05f2b8 completed March 20, 2026, 5:42 p.m.
PD Predicate disambiguation batch_69bd84534f9c8190bc19d4812060768d completed March 20, 2026, 5:30 p.m.
Created at: March 20, 2026, 1:54 p.m.