Triple

T12192250
Position Surface form Disambiguated ID Type / Status
Subject Garsington Manor E290491 entity
Predicate hasLanguageOfCulturalContext P64832 FINISHED
Object English 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: English | Statement: [Garsington Manor, hasLanguageOfCulturalContext, English]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLanguageOfCulturalContext
Context triple: [Garsington Manor, hasLanguageOfCulturalContext, English]
  • A. isCulturalLanguageOf
    Indicates that a language serves as a primary medium of cultural expression, identity, and heritage for a particular group, community, or region.
  • B. hasEthnolinguisticContext chosen
    Indicates that something is associated with, shaped by, or understood within a specific ethnolinguistic (cultural and language-based) context.
  • C. hasCulturalEquivalent
    Indicates that one entity has a counterpart in another cultural context that plays a similar role, function, or meaning.
  • D. languageAndCultureDimension
    Indicates a relationship where aspects of language are connected to, shaped by, or reflective of broader cultural dimensions or contexts.
  • E. hasCulturalInterpretation
    Indicates that something is understood, represented, or given meaning within a particular cultural context or tradition.
  • 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_69d6ab64de5881908d56eb7a75c6cc69 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d938cd2edc8190b1971349dbc0dee0 completed April 10, 2026, 5:52 p.m.
PD Predicate disambiguation batch_69d91c38321c819080d500d0d64a04f6 completed April 10, 2026, 3:50 p.m.
Created at: April 8, 2026, 9:50 p.m.