Triple

T11913996
Position Surface form Disambiguated ID Type / Status
Subject Cox Green E283465 entity
Predicate partOf P40 FINISHED
Object Maidenhead urban area E58028 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: Maidenhead urban area | Statement: [Cox Green, partOf, Maidenhead urban area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maidenhead urban area
Context triple: [Cox Green, partOf, Maidenhead urban area]
  • A. Maidenhead chosen
    Maidenhead is a large riverside town on the River Thames in Berkshire, England, known as a commuter hub for London with a mix of historic and modern development.
  • 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. Aylesbury
    Aylesbury is a historic market town in southern England that serves as an important commercial and administrative center in Buckinghamshire.
  • D. Oxford urban area
    The Oxford urban area is the contiguous built-up region centered on the historic city of Oxford in England, encompassing the city and its surrounding suburbs and settlements.
  • E. Milton Keynes
    Milton Keynes is a large, planned new town in Buckinghamshire, England, known for its grid road system, modern architecture, and extensive green spaces.
  • 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_69d6ab2c07e88190ba13b0d21fd6cf33 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8e52a2bc08190b80cc6ccf5779d7c completed April 10, 2026, 11:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69f60a5753848190b0ab7da327c9aa22 completed May 2, 2026, 2:29 p.m.
Created at: April 8, 2026, 9:44 p.m.