Triple

T10975907
Position Surface form Disambiguated ID Type / Status
Subject Leagrave railway station E259368 entity
Predicate locatedIn P40 FINISHED
Object Leagrave E259368 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: Leagrave | Statement: [Leagrave railway station, locatedIn, Leagrave]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leagrave
Context triple: [Leagrave railway station, locatedIn, Leagrave]
  • A. Leagrave chosen
    Leagrave is a suburban area of Luton in Bedfordshire, England, known as the district where the River Lea originates.
  • B. Brackenfell
    Brackenfell is a residential suburb in the northern part of Cape Town, South Africa, known for its family-friendly neighborhoods and proximity to major transport routes and shopping centers.
  • C. Kinsealy
    Kinsealy is a suburban locality in north County Dublin, Ireland, known for its residential character and proximity to Swords and Dublin city.
  • D. Rougham
    Rougham is a village and civil parish in the English county of Suffolk, known for its rural character and historic church.
  • E. Loughery
    Loughery is a surname most notably associated with former American professional basketball player and coach Kevin Loughery.
  • 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_69d6aa895f4c8190887a15460ef622f4 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d771f4e888819097433271a2f45ff3 completed April 9, 2026, 9:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69e344b433c481909bf22bba1b8dc3bd completed April 18, 2026, 8:45 a.m.
Created at: April 8, 2026, 9:24 p.m.