Triple

T15469269
Position Surface form Disambiguated ID Type / Status
Subject LFD E372113 entity
Predicate associatedWith P37 FINISHED
Object Lingfield E17308 NE 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: Lingfield | Statement: [LFD, associatedWith, Lingfield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lingfield
Context triple: [LFD, associatedWith, Lingfield]
  • A. Lingfield chosen
    Lingfield is a village and civil parish in the Tandridge district of Surrey, England, known for its historic buildings and Lingfield Park Racecourse.
  • B. Lambourn Downs
    Lambourn Downs is a chalk downland area in Berkshire, England, known for its rolling hills and extensive racehorse training facilities.
  • C. Oundle
    Oundle is a historic market town in Northamptonshire, England, known for its traditional stone architecture and the prestigious Oundle School.
  • D. Kempton Park
    Kempton Park is a town on the East Rand in Gauteng, South Africa, known for housing OR Tambo International Airport and being part of the greater Johannesburg metropolitan area.
  • E. Kempton
    Kempton is a surname most notably associated with Murray Kempton, an influential American journalist and social commentator.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d85cc8bd308190886949510b42e764 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f6b49788190b270fdfe92646842 completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2d03845c8190bc8cb96827a5da39 completed May 9, 2026, 12:48 p.m.
Created at: April 10, 2026, 3:33 a.m.