Triple

T13972762
Position Surface form Disambiguated ID Type / Status
Subject The Centre:MK E336105 entity
Predicate locatedIn P40 FINISHED
Object Central Milton Keynes E66814 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: Central Milton Keynes | Statement: [The Centre:MK, locatedIn, Central Milton Keynes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Central Milton Keynes
Context triple: [The Centre:MK, locatedIn, Central Milton Keynes]
  • A. Milton Keynes chosen
    Milton Keynes is a large, planned new town in Buckinghamshire, England, known for its grid road system, modern architecture, and extensive green spaces.
  • B. Milton Park
    Milton Park is a public green space in the town of Alsager, Cheshire, providing local residents with recreational and leisure facilities.
  • C. Milton Park
    Milton Park is a major business and science park in Oxfordshire, England, known for hosting numerous technology, research, and commercial companies.
  • D. Kettering
    Kettering is a market and industrial town in Northamptonshire, England, known historically for its boot and shoe manufacturing and its location on major road and rail routes.
  • E. Kettering
    Kettering is a surname most notably associated with American inventor and engineer Charles F. Kettering, known for his influential contributions to automotive and industrial technology.
  • 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_69de2e8eae40819080dd4bd25c73b6d6 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.