Triple

T13972930
Position Surface form Disambiguated ID Type / Status
Subject Wolverton E336108 entity
Predicate hasLandmark P105 FINISHED
Object Wolverton Park E1071926 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: Wolverton Park | Statement: [Wolverton, hasLandmark, Wolverton Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wolverton Park
Context triple: [Wolverton, hasLandmark, Wolverton Park]
  • A. Wolverton Park chosen
    Wolverton Park is a residential neighbourhood within the town of Wolverton in Milton Keynes, England.
  • B. Wolterton Park
    Wolterton Park is the historic landscaped estate and grounds surrounding Wolterton Hall in Norfolk, England.
  • C. Womble Park
    Womble Park is a public recreational park in Holly Springs, North Carolina, featuring sports fields, playgrounds, walking paths, and community event spaces.
  • D. Windlestone Park
    Windlestone Park is the historic landscaped parkland and grounds surrounding Windlestone Hall in County Durham, England.
  • E. Wolvercote
    Wolvercote is a village and suburb on the northern edge of Oxford, England, known for its historic character and proximity to the River Thames and Port Meadow.
  • 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_69d81c61f3508190aaf2ca0dc0002c59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e8fd6d48190a157eae8df3a2f3a completed April 14, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbac90250881908f1945793d261752 completed May 6, 2026, 9:03 p.m.
Created at: April 9, 2026, 10:18 p.m.