Triple

T22841077
Position Surface form Disambiguated ID Type / Status
Subject Route 66 (TV series) E566079 entity
Predicate filmingLocationPattern P149924 FINISHED
Object different U.S. state or city nearly every episode 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: different U.S. state or city nearly every episode | Statement: [Route 66 (TV series), filmingLocationPattern, different U.S. state or city nearly every episode]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: filmingLocationPattern
Context triple: [Route 66 (TV series), filmingLocationPattern, different U.S. state or city nearly every episode]
  • A. filmingLocationContext
    Indicates the contextual relationship specifying where the filming of an event, scene, or production took place.
  • B. filmLocationFor
    Indicates a relationship where a specific place serves as the filming location for a particular film or production.
  • C. formerFilmingLocation
    Indicates that a place was once used as a filming location for a work but is no longer used for that purpose.
  • D. notableFilmingLocation
    Indicates that a place served as a significant or well-known location where a film or television production was shot.
  • E. filmingLocationForAdaptation
    Indicates the place where an adaptation (such as a film or TV version of a work) was shot or recorded.
  • 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_69e245869e188190a196584f36e682da completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e83fa48819084568264ef45c833 completed April 29, 2026, 3:44 a.m.
PD Predicate disambiguation batch_69eed2d117088190acbfe130d84f8627 completed April 27, 2026, 3:06 a.m.
PDg Predicate description generation batch_69eeeb577e2081909f4a4e9c296535c0 completed April 27, 2026, 4:51 a.m.
Created at: April 17, 2026, 3:35 p.m.