Triple

T8712967
Position Surface form Disambiguated ID Type / Status
Subject Wolterton Park E206823 entity
Predicate locatedIn P40 FINISHED
Object Wolterton E211448 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: Wolterton | Statement: [Wolterton Park, locatedIn, Wolterton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wolterton
Context triple: [Wolterton Park, locatedIn, Wolterton]
  • A. Wolterton chosen
    Wolterton is an English country estate and civil parish in Norfolk, best known as the setting of the historic Wolterton Hall.
  • B. Wolverton
    Wolverton is a historic railway town in Buckinghamshire, England, now part of the Milton Keynes urban area.
  • C. Woolverton
    Woolverton is a surname most notably associated with American screenwriter and playwright Linda Woolverton, known for her work on major Disney films.
  • D. Wretton
    Wretton is a small village and civil parish in Norfolk, England, situated in a rural area of the county.
  • E. Wroughton
    Wroughton is a large village and civil parish in Wiltshire, England, situated just south of the town of Swindon.
  • 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_69ca83572d4881909bef3be2b578d539 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5cd522a88190a32facd86206af66 completed March 31, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf28cd239c81909d1feb98b652eb26 completed April 3, 2026, 2:41 a.m.
Created at: March 30, 2026, 6:35 p.m.