Triple

T11705965
Position Surface form Disambiguated ID Type / Status
Subject Speen, Berkshire E278239 entity
Predicate civilParishIncludes P852 FINISHED
Object Bagnor E765048 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: Bagnor | Statement: [Speen, Berkshire, civilParishIncludes, Bagnor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bagnor
Context triple: [Speen, Berkshire, civilParishIncludes, Bagnor]
  • A. Bagnor chosen
    Bagnor is a small rural village in Berkshire, England, known for its picturesque setting along the River Lambourn and its historic watermill.
  • B. Bainsford
    Bainsford is a district in Falkirk, Scotland, historically associated with local industry and early Scottish football.
  • C. Bowdon
    Bowdon is a small city in Carroll County, western Georgia, known for its rural character and proximity to the Alabama state line.
  • D. Bowdon
    Bowdon is an affluent suburban area in Greater Manchester, England, known for its Victorian and Edwardian architecture and proximity to Altrincham.
  • E. Bargate
    Bargate is a historic medieval gatehouse and former main entrance to the walled city of Southampton, England, now a prominent civic monument and landmark.
  • 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_69d6aaff2ce88190b4a1e4b341ad5377 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a49c8c38819083d83f5fdec52b7f completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef836388bc8190827ce4af609d8b61 completed April 27, 2026, 3:40 p.m.
Created at: April 8, 2026, 9:40 p.m.