Triple

T10203098
Position Surface form Disambiguated ID Type / Status
Subject SL postcode area E238932 entity
Predicate coversTown P847 FINISHED
Object Cookham E280116 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: Cookham | Statement: [SL postcode area, coversTown, Cookham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cookham
Context triple: [SL postcode area, coversTown, Cookham]
  • A. Cookham chosen
    Cookham is a picturesque English village on the River Thames in Berkshire, noted for its historic charm and association with painter Stanley Spencer.
  • B. Cookham Dean
    Cookham Dean is a picturesque village in Berkshire, England, known for its rural charm and association with author Kenneth Grahame.
  • C. Burnham Norton
    Burnham Norton is a small coastal village in Norfolk, England, known for its historic church and saltmarsh landscape near the North Sea.
  • D. Pangbourne
    Pangbourne is a picturesque village on the River Thames in Berkshire, England, known for its literary associations and scenic rural charm.
  • E. Eynsham
    Eynsham is a historic village in Oxfordshire, England, known for its medieval abbey remains and its location near the River Thames between Oxford and Witney.
  • 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_69ca84e1ea088190b38162e43d4cfa8f completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdee4239c08190b40f5cc19c3db3c7 completed April 2, 2026, 4:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69d317fcdf18819092d0f3f216edffdc completed April 6, 2026, 2:18 a.m.
Created at: March 30, 2026, 9:14 p.m.