Triple

T11705805
Position Surface form Disambiguated ID Type / Status
Subject The Castle pub E278233 entity
Predicate locatedIn P40 FINISHED
Object Donnington E278235 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: Donnington | Statement: [The Castle pub, locatedIn, Donnington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Donnington
Context triple: [The Castle pub, locatedIn, Donnington]
  • A. Donnington
    Donnington is a small village in West Sussex, England, situated on the Manhood Peninsula just south of Chichester.
  • B. Dennington
    Dennington is a rural village and civil parish located in the English county of Suffolk.
  • C. Brize Norton
    Brize Norton is a village in Oxfordshire, England, best known for its proximity to RAF Brize Norton, one of the UK’s largest and busiest Royal Air Force stations.
  • D. Shaw-cum-Donnington chosen
    Shaw-cum-Donnington is a small civil parish and village in Berkshire, England, situated just north of Newbury and known for its mix of rural character and proximity to the River Lambourn.
  • E. Chipping Norton
    Chipping Norton is a historic market town in Oxfordshire, England, known for its Cotswold stone architecture and rural surroundings.
  • 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_69d6aaff2ce88190b4a1e4b341ad5377 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a49c8c38819083d83f5fdec52b7f completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69f1304cf94c819084b47fa260ca3a9f completed April 28, 2026, 10:10 p.m.
Created at: April 8, 2026, 9:40 p.m.