Triple

T18111312
Position Surface form Disambiguated ID Type / Status
Subject Brighton to Portsmouth line E433480 entity
Predicate passesThrough P225 FINISHED
Object Warblington 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: Warblington | Statement: [Brighton to Portsmouth line, passesThrough, Warblington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Warblington
Context triple: [Brighton to Portsmouth line, passesThrough, Warblington]
  • A. Warblington chosen
    Warblington is a village and suburban area in Hampshire, England, known for its historic church and proximity to the town of Havant.
  • B. Walberton
    Walberton is a village and civil parish in West Sussex, England, situated in the Arun district between Chichester and Arundel.
  • C. Watlington
    Watlington is a residential suburb located within the city of Timaru in the Canterbury region of New Zealand.
  • D. Watlington
    Watlington is a small historic market town in Oxfordshire, England, known for its traditional high street and location near the Chiltern Hills.
  • E. Watlington
    Watlington is a village in Norfolk, England, known for its rural character and location near the River Great Ouse.
  • 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_69d8b90916008190a1f110bd7ced5473 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddd2038081909515fb6d17495cbf completed April 19, 2026, 1:51 p.m.
Created at: April 10, 2026, 10:28 a.m.