Triple

T22184209
Position Surface form Disambiguated ID Type / Status
Subject London Marylebone – High Wycombe E548249 entity
Predicate serves P98 FINISHED
Object High Wycombe 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: High Wycombe | Statement: [London Marylebone – High Wycombe, serves, High Wycombe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: High Wycombe
Context triple: [London Marylebone – High Wycombe, serves, High Wycombe]
  • A. High Wycombe chosen
    High Wycombe is a large town in Buckinghamshire, England, historically significant as a major furniture-making center and as a key Royal Air Force command location during the Second World War.
  • B. Bracknell Forest
    Bracknell Forest is a unitary authority area and borough in Berkshire, South East England, encompassing the town of Bracknell and surrounding communities.
  • C. Welwyn Hatfield
    Welwyn Hatfield is a local government district and borough in Hertfordshire, England, that includes the towns of Welwyn Garden City and Hatfield.
  • D. Welwyn
    Welwyn is a historic village and civil parish in Hertfordshire, England, known for its Roman heritage and picturesque rural character.
  • E. Chesham
    Chesham is a market town in the Chiltern Hills of Buckinghamshire, England, known historically for its boot, brush, and woodenware industries.
  • 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_69e11e3e0c7c8190b30d278845e2497e completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12aa75440819084cbe9176b9edb47 completed April 28, 2026, 9:46 p.m.
Created at: April 16, 2026, 8:35 p.m.