Triple

T5812799
Position Surface form Disambiguated ID Type / Status
Subject Arun District E128909 entity
Predicate hasParish P35 FINISHED
Object Yapton E547648 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: Yapton | Statement: [Arun District, hasParish, Yapton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yapton
Context triple: [Arun District, hasParish, Yapton]
  • A. Yapton chosen
    Yapton is a village and civil parish in West Sussex, England, situated near the south coast between Bognor Regis and Littlehampton.
  • B. Yarnton
    Yarnton is a rural village in Oxfordshire, England, known for its historic church, manor house, and proximity to the city of Oxford.
  • C. Wroughton
    Wroughton is a large village and civil parish in Wiltshire, England, situated just south of the town of Swindon.
  • D. Totton
    Totton is a town in Hampshire, England, situated near the River Test on the outskirts of the New Forest and close to the city of Southampton.
  • E. Tormarton
    Tormarton is a small rural village and civil parish in South Gloucestershire, England, near the Cotswolds and close to the M4 motorway.
  • 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_69c0084788848190bcf71f6bc5d71597 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02b56044c8190847478a342d441c2 completed March 22, 2026, 5:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a1826cc081909572d9bf99d5f670 completed March 23, 2026, 2:12 a.m.
Created at: March 22, 2026, 3:52 p.m.