Triple

T20408453
Position Surface form Disambiguated ID Type / Status
Subject Bookham railway station E500529 entity
Predicate locatedIn P40 FINISHED
Object Little Bookham 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: Little Bookham | Statement: [Bookham railway station, locatedIn, Little Bookham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Little Bookham
Context triple: [Bookham railway station, locatedIn, Little Bookham]
  • A. Bookham chosen
    Bookham is a village in Surrey, England, known for its residential character and proximity to the North Downs countryside.
  • B. Bookham
    Bookham is a small rural locality in New South Wales, Australia, situated along the Hume Highway and known for its agricultural surroundings and village community.
  • C. Bloxham
    Bloxham is a large historic village in Oxfordshire, England, known for its medieval church and traditional stone-built architecture.
  • D. Little Hadham
    Little Hadham is a small rural village and civil parish in Hertfordshire, England, known for its historic church, countryside setting, and location near the A120 between Bishop’s Stortford and Ware.
  • E. Waddingham
    Waddingham is an English surname most prominently associated with actress and singer Hannah Waddingham.
  • 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_69e0b4a935588190b9446a99b37ced44 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67a3d03ac81908f37b907ccbb5088 completed April 20, 2026, 7:10 p.m.
Created at: April 16, 2026, 11:29 a.m.