Triple

T21730714
Position Surface form Disambiguated ID Type / Status
Subject Rosebery Handicap E536396 entity
Predicate countrySport P145149 FINISHED
Object British flat racing 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: British flat racing | Statement: [Rosebery Handicap, countrySport, British flat racing]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: countrySport
Context triple: [Rosebery Handicap, countrySport, British flat racing]
  • A. countrySportAssociation
    Indicates a relationship where a country is associated with, participates in, or is represented in a particular sport or sporting activity.
  • B. traditionalSport
    Indicates that an entity is a sport practiced within a culture or community that has been passed down over generations and is recognized as part of traditional or heritage activities.
  • C. sportsGround
    Indicates that a location functions as a sports ground, i.e., a place designated or used for playing sports or athletic activities.
  • D. stateSport
    Indicates that a particular sport is officially associated with, designated by, or representative of a given state.
  • E. sportsAndRecreation
    Indicates a relationship where an entity is associated with, involved in, or designated for sports or recreational activities.
  • 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_69e0c46d3284819099a4f9d5a704eb95 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69effd064fcc819084852b4248f65a81 completed April 28, 2026, 12:19 a.m.
PD Predicate disambiguation batch_69e6969c16fc8190b5126c169317d85d completed April 20, 2026, 9:11 p.m.
PDg Predicate description generation batch_69e69f3ed4408190a4a78410bf660c44 completed April 20, 2026, 9:48 p.m.
Created at: April 16, 2026, 6:48 p.m.