Triple

T11779963
Position Surface form Disambiguated ID Type / Status
Subject Cookham E280116 entity
Predicate hasPart P35 FINISHED
Object Cookham Dean E159273 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 Dean | Statement: [Cookham, hasPart, Cookham Dean]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cookham Dean
Context triple: [Cookham, hasPart, Cookham Dean]
  • A. Cookham Dean chosen
    Cookham Dean is a picturesque village in Berkshire, England, known for its rural charm and association with author Kenneth Grahame.
  • B. Cookham
    Cookham is a picturesque English village on the River Thames in Berkshire, noted for its historic charm and association with painter Stanley Spencer.
  • C. 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.
  • D. Pangbourne
    Pangbourne is a picturesque village on the River Thames in Berkshire, England, known for its literary associations and scenic rural charm.
  • E. Burnham Norton
    Burnham Norton is a small coastal village in Norfolk, England, known for its historic church and saltmarsh landscape near the North Sea.
  • 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_69d6ab01d2688190ad8ed6bda487eaa5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a5623f708190a18aea570577a3f6 completed April 10, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f130cb31f48190a9357cce47a7b192 completed April 28, 2026, 10:12 p.m.
Created at: April 8, 2026, 9:42 p.m.