Triple

T5627497
Position Surface form Disambiguated ID Type / Status
Subject George Brydges Rodney E147753 entity
Predicate parliamentaryConstituencyRepresented P6494 FINISHED
Object Okehampton E95958 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: Okehampton | Statement: [George Brydges Rodney, parliamentaryConstituencyRepresented, Okehampton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Okehampton
Context triple: [George Brydges Rodney, parliamentaryConstituencyRepresented, Okehampton]
  • A. Okehampton chosen
    Okehampton is a historic market town in Devon, England, known for its medieval castle and role as a former parliamentary borough.
  • B. Sompting
    Sompting is a village and civil parish in West Sussex, England, situated near the south coast between Worthing and Lancing.
  • C. Cinderford
    Cinderford is a small industrial town in Gloucestershire, England, historically associated with coal mining and situated within the Forest of Dean.
  • D. Bramshott
    Bramshott is a historic village in Hampshire, England, known for its picturesque countryside and association with nearby heathland areas.
  • E. Shrivenham
    Shrivenham is a village in Oxfordshire, England, known for its historic high street, rural setting, and association with nearby military and academic institutions.
  • 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_69c00906f2a88190a992c66b13d606d4 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c02239500c8190ad3035e44c3b0670 completed March 22, 2026, 5:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d654c6c819087c1bcb4eb9530d0 completed March 22, 2026, 8:13 p.m.
Created at: March 22, 2026, 3:40 p.m.