Triple

T8975417
Position Surface form Disambiguated ID Type / Status
Subject River Brant E214373 entity
Predicate hasNearbySettlement P4647 FINISHED
Object Waddington E402829 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: Waddington | Statement: [River Brant, hasNearbySettlement, Waddington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waddington
Context triple: [River Brant, hasNearbySettlement, Waddington]
  • A. Waddington
    Waddington is a small village and civil parish in Lancashire, England, known for its picturesque setting in the Ribble Valley and traditional stone-built architecture.
  • B. Waddington chosen
    Waddington is a village and civil parish in the North Kesteven district of Lincolnshire, England, known for its proximity to the city of Lincoln and RAF Waddington airbase.
  • C. Waddon
    Waddon is a suburban area in south London, England, known for its residential character, local shopping streets, and proximity to Croydon town centre.
  • D. Banwell
    Banwell is a village and civil parish in North Somerset, England, known for its historic caves and medieval architecture.
  • E. Hardwicke
    Hardwicke is a given name most notably borne by Hardwicke Rawnsley, an English clergyman, conservationist, and co-founder of the National Trust.
  • 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_69ca839ea8b88190922c6a326ffcc0d3 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6784d1808190899c980f76084ff8 completed April 1, 2026, 12:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd0afe9688190bdd66198ab31c2c7 completed April 3, 2026, 2:37 p.m.
Created at: March 30, 2026, 7:02 p.m.