Triple

T10478409
Position Surface form Disambiguated ID Type / Status
Subject Question Time (BBC TV programme) E247105 entity
Predicate filmingLocationType P4373 FINISHED
Object various locations in the United Kingdom 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: various locations in the United Kingdom | Statement: [Question Time (BBC TV programme), filmingLocationType, various locations in the United Kingdom]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: filmingLocationType
Context triple: [Question Time (BBC TV programme), filmingLocationType, various locations in the United Kingdom]
  • A. filmingLocationContext
    Indicates the contextual relationship specifying where the filming of an event, scene, or production took place.
  • B. formerFilmingLocation
    Indicates that a place was once used as a filming location for a work but is no longer used for that purpose.
  • C. notableFilmingLocation
    Indicates that a place served as a significant or well-known location where a film or television production was shot.
  • D. filmLocationFor chosen
    Indicates a relationship where a specific place serves as the filming location for a particular film or production.
  • E. filmingStudio
    Indicates that a studio is responsible for producing or filming a particular audiovisual work.
  • 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5095a25708190bf34e3ca1491e003 completed April 7, 2026, 1:40 p.m.
PD Predicate disambiguation batch_69d4fb84bafc8190819757b93620508a completed April 7, 2026, 12:41 p.m.
Created at: April 6, 2026, 12:21 p.m.