Triple

T20425536
Position Surface form Disambiguated ID Type / Status
Subject Leopardstown Road E500989 entity
Predicate namedAfter P63 FINISHED
Object Leopardstown NE NERFINISHED

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: Leopardstown | Statement: [Leopardstown Road, namedAfter, Leopardstown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leopardstown
Context triple: [Leopardstown Road, namedAfter, Leopardstown]
  • A. Leopardstown chosen
    Leopardstown is a suburban area in south Dublin, Ireland, best known for its major horse racing venue, Leopardstown Racecourse.
  • B. Navan Racecourse
    Navan Racecourse is a prominent horse racing venue in Navan, County Meath, Ireland, known for hosting both National Hunt and flat racing events.
  • C. The Curragh racecourse
    The Curragh racecourse is Ireland’s most prestigious flat horse racing venue, renowned for hosting classic races such as the Irish Derby.
  • D. Fairyhouse Racecourse
    Fairyhouse Racecourse is a prominent Irish horse racing venue in County Meath, best known for hosting major National Hunt events such as the Irish Grand National.
  • E. Naas Racecourse
    Naas Racecourse is a prominent Irish horse racing venue located near the town of Naas in County Kildare, hosting both flat and National Hunt meetings.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4aa68fc8190b1a14c55575ef04a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67ba86ed88190bf2d4448d2abcdc7 completed April 20, 2026, 7:16 p.m.
Created at: April 16, 2026, 11:30 a.m.