Triple

T8328136
Position Surface form Disambiguated ID Type / Status
Subject Westonzoyland E195006 entity
Predicate nearestTown P350 FINISHED
Object Bridgwater E169905 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: Bridgwater | Statement: [Westonzoyland, nearestTown, Bridgwater]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bridgwater
Context triple: [Westonzoyland, nearestTown, Bridgwater]
  • A. Bridgwater chosen
    Bridgwater is a historic market town in Somerset, England, known for its maritime heritage and role in regional trade and industry.
  • B. Bideford
    Bideford is a historic port town on the River Torridge in North Devon, England, known for its maritime heritage and role as a local commercial center.
  • C. Nailsea
    Nailsea is a small town in North Somerset, England, historically known for its glassmaking and coal mining industries.
  • D. Poole
    Poole is a coastal town and seaport in Dorset, England, known for its large natural harbour and maritime activities.
  • E. Yeovil
    Yeovil is a town in Somerset, England, known historically for its aircraft and defence industries and serving as a commercial and service hub for the surrounding rural area.
  • 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_69ca82e87f2c8190bdb71ee29dfc642d completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7f8243288190b1ae74d69395fc91 completed March 31, 2026, 8:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce1cf20900819084ab766192f36239 completed April 2, 2026, 7:38 a.m.
Created at: March 30, 2026, 5:56 p.m.