Triple

T9510470
Position Surface form Disambiguated ID Type / Status
Subject Amersham E229376 entity
Predicate nearbyTown P3883 FINISHED
Object Chesham E232556 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: Chesham | Statement: [Amersham, nearbyTown, Chesham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chesham
Context triple: [Amersham, nearbyTown, Chesham]
  • A. Chesham chosen
    Chesham is a market town in the Chiltern Hills of Buckinghamshire, England, known historically for its boot, brush, and woodenware industries.
  • B. Chelsham
    Chelsham is a small rural village in Surrey, England, known for its countryside setting and traditional character.
  • C. Datchet
    Datchet is a riverside village and civil parish in Berkshire, England, situated on the River Thames near Windsor.
  • D. Wexham
    Wexham is a village and civil parish in Buckinghamshire, England, situated near Black Park Country Park and on the outskirts of Slough.
  • E. Chertsey
    Chertsey is a historic town in southeast England, known for its medieval abbey heritage and location on the River Thames.
  • 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_69ca84777560819084cddd999badc1aa completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9868616c8190856f89fecfa1a02e completed April 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69d96af89e48819093a6c149ac988391 completed April 10, 2026, 9:26 p.m.
Created at: March 30, 2026, 7:58 p.m.