Triple

T1453477
Position Surface form Disambiguated ID Type / Status
Subject Fen Line E31344 entity
Predicate passesThrough P225 FINISHED
Object Watlington E49608 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: Watlington | Statement: [Fen Line, passesThrough, Watlington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Watlington
Context triple: [Fen Line, passesThrough, Watlington]
  • A. Watlington chosen
    Watlington is a village in Norfolk, England, known for its rural character and location near the River Great Ouse.
  • B. Highworth
    Highworth is a historic market town in Wiltshire, England, known for its elevated position and traditional architecture.
  • C. Langworthy
    Langworthy is a residential district in Salford, Greater Manchester, known for its urban regeneration and proximity to Manchester city centre.
  • D. Owerton
    Owerton is an alternative spelling of the name Overton, which is used for various places and surnames in English-speaking regions.
  • E. Rushworth
    Rushworth is the middle name of Lord Jellicoe, a British naval officer and statesman who served as First Sea Lord during World War I.
  • 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_69a499171a28819085b993a3ac78e363 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c57e82d48190a30a4512f39f5de0 completed March 1, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad0e71ffd481909dfd0f77201dc17c completed March 8, 2026, 5:51 a.m.
Created at: March 1, 2026, 8 p.m.