Triple

T34449962
Position Surface form Disambiguated ID Type / Status
Subject Cambridge Raceway E884335 entity
Predicate hasRacetrackShape P55674 FINISHED
Object oval track 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: oval track | Statement: [Cambridge Raceway, hasRacetrackShape, oval track]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRacetrackShape
Context triple: [Cambridge Raceway, hasRacetrackShape, oval track]
  • A. hasRacingSide
    Indicates that an entity possesses or is associated with a side or aspect specifically dedicated to racing.
  • B. hasNearbyRacetrack
    Indicates that one entity is located close to or in the vicinity of a racetrack.
  • C. hasRacecourseFeature chosen
    Indicates that something possesses or includes a specific feature or characteristic related to a racecourse.
  • D. hasKartingTrack
    Indicates that one entity possesses or includes a karting track as a facility or feature.
  • E. raceTrack
    Indicates that one entity serves as a race track or racing course used by another entity for racing activities.
  • 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_69f349c607688190b553539d14901a35 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69fd37b695c88190855801626f91c4cd completed May 8, 2026, 1:09 a.m.
PD Predicate disambiguation batch_69fd374cccf08190a230e87164af5938 completed May 8, 2026, 1:07 a.m.
Created at: May 1, 2026, 2 a.m.