Triple

T6671208
Position Surface form Disambiguated ID Type / Status
Subject Wolverley E151732 entity
Predicate hasNearbySettlement P4647 FINISHED
Object Kidderminster E178077 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: Kidderminster | Statement: [Wolverley, hasNearbySettlement, Kidderminster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kidderminster
Context triple: [Wolverley, hasNearbySettlement, Kidderminster]
  • A. Kidderminster chosen
    Kidderminster is a historic market and industrial town in Worcestershire, England, traditionally known for its carpet manufacturing.
  • B. Bridgnorth
    Bridgnorth is a historic market town in Shropshire, England, known for its dramatic position on the River Severn and its high and low town layout linked by a funicular railway.
  • C. Shrivenham
    Shrivenham is a village in Oxfordshire, England, known for its historic high street, rural setting, and association with nearby military and academic institutions.
  • D. Bledington
    Bledington is a small rural village in the Cotswolds region of Gloucestershire, England, known for its traditional stone cottages and scenic countryside setting.
  • E. Rendham
    Rendham is a small rural village and civil parish located in the county of Suffolk in eastern England.
  • 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_69c687f71fc081909dbd45d6377f6045 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b0c9163c8190ad959172a8458619 completed March 27, 2026, 4:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c700755874819083cd0facebd7aa3d completed March 27, 2026, 10:11 p.m.
Created at: March 27, 2026, 2:03 p.m.