Triple

T29758200
Position Surface form Disambiguated ID Type / Status
Subject Thirsk Racecourse E753087 entity
Predicate sprintDistance P27047 FINISHED
Object 5 furlongs straight 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: 5 furlongs straight | Statement: [Thirsk Racecourse, sprintDistance, 5 furlongs straight]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: sprintDistance
Context triple: [Thirsk Racecourse, sprintDistance, 5 furlongs straight]
  • A. sprintRace
    Indicates a competitive running event over a short distance where participants race to finish in the fastest time.
  • B. raceDistanceType chosen
    Indicates the specific type or category of distance over which a race is conducted.
  • C. raceDistanceApprox
    Indicates that the distance of a race is approximately equal to a specified value, allowing for some margin of error rather than requiring an exact match.
  • D. scoopRunDistance
    Indicates the distance over which a scooping action or run is performed.
  • E. runsTheLengthOf
    Indicates that one entity extends continuously alongside or across the full distance of another entity.
  • 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_69f0d62c84cc8190846f80ae04fdf8ec completed April 28, 2026, 3:45 p.m.
NER Named-entity recognition batch_69f673cd0a688190903dc64d4e5b5571 completed May 2, 2026, 9:59 p.m.
PD Predicate disambiguation batch_69f66ac1a4fc81909740d2e52fbe6970 completed May 2, 2026, 9:21 p.m.
Created at: April 28, 2026, 7:58 p.m.