Triple

T3975555
Position Surface form Disambiguated ID Type / Status
Subject Yattendon E85631 entity
Predicate civilParish P2739 FINISHED
Object Yattendon E85631 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: Yattendon | Statement: [Yattendon, civilParish, Yattendon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yattendon
Context triple: [Yattendon, civilParish, Yattendon]
  • A. Yattendon chosen
    Yattendon is a small village and civil parish in Berkshire, England, known for its rural character and historic buildings.
  • B. Coryton
    Coryton is a suburban area and railway terminus in Cardiff, Wales, served by local commuter trains.
  • C. Fenstanton
    Fenstanton is a village and civil parish in Cambridgeshire, England, situated near the River Great Ouse between Huntingdon and St Ives.
  • D. Bowdon
    Bowdon is an affluent suburban area in Greater Manchester, England, known for its Victorian and Edwardian architecture and proximity to Altrincham.
  • E. Chaldon
    Chaldon is a small historic village in Surrey, England, noted for its ancient church and rural character within the Tandridge district.
  • 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_69aed93908348190a26c8aaf4fab3e86 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef9b6d8008190822fceabe6542b3d completed March 9, 2026, 4:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5401712188190aa6144dc1d5dcab6 completed March 14, 2026, 11:01 a.m.
Created at: March 9, 2026, 3:33 p.m.