Triple

T17314842
Position Surface form Disambiguated ID Type / Status
Subject Big Rivers Region E420394 entity
Predicate containsSettlement P847 FINISHED
Object Beswick E1189296 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: Beswick | Statement: [Big Rivers Region, containsSettlement, Beswick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beswick
Context triple: [Big Rivers Region, containsSettlement, Beswick]
  • A. Beswick
    Beswick is an inner-city district of Manchester, England, known for its industrial heritage and ongoing urban regeneration.
  • B. Beswick chosen
    Beswick is a remote Aboriginal community in Australia's Northern Territory that serves as a central hub for the Jawoyn people.
  • C. Blisworth
    Blisworth is a village in Northamptonshire, England, known for its historic location on the Grand Union Canal near the Blisworth Tunnel.
  • D. Banwell
    Banwell is a village and civil parish in North Somerset, England, known for its historic caves and medieval architecture.
  • E. Bywell
    Bywell is a small historic village in Northumberland, England, situated on the north bank of the River Tyne and known for its medieval churches and castle ruins.
  • 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_69d889d22b848190a4663d0b8f8f76e7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4399c6ad88190ba7fcf1d2d53171c completed April 19, 2026, 2:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0180e6e830819097b33d6b99232727 completed May 11, 2026, 7:10 a.m.
Created at: April 10, 2026, 5:43 a.m.