Triple

T4437983
Position Surface form Disambiguated ID Type / Status
Subject Arrogate E95697 entity
Predicate racingSurfaceSpecialty P50583 FINISHED
Object dirt 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: dirt | Statement: [Arrogate, racingSurfaceSpecialty, dirt]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: racingSurfaceSpecialty
Context triple: [Arrogate, racingSurfaceSpecialty, dirt]
  • A. hasRaceSurface chosen
    Indicates that an event or activity takes place on, or is associated with, a specific type of race surface.
  • B. racingSeries
    Indicates that one entity is a racing series in which the other entity (such as a race, team, or driver) participates or to which it belongs.
  • C. ridingSpecialty
    Indicates that one entity has a particular area of expertise or focus related to riding (e.g., a specific riding style, discipline, or type).
  • D. competitionSurface
    Indicates the type of surface or medium on which a competition or contest takes place.
  • E. hasMotorRacingCircuit
    Indicates that a location or entity possesses, contains, or is the site of a motor racing circuit.
  • 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_69b3453ea2b48190a26f154b3b8fece5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3558c75948190875a5fb10eac0597 completed March 13, 2026, 12:08 a.m.
PD Predicate disambiguation batch_69b34f6078cc8190831b89f404198cc5 completed March 12, 2026, 11:42 p.m.
Created at: March 12, 2026, 11:31 p.m.