Triple

T9662842
Position Surface form Disambiguated ID Type / Status
Subject Stourbridge E233628 entity
Predicate hasNeighbouringArea P17964 FINISHED
Object Wordsley
Wordsley is a suburban village in the West Midlands of England, situated near the town of Stourbridge and historically associated with the region’s glassmaking industry.
E813918 NE FINISHED

How this triple was built (4 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: Wordsley | Statement: [Stourbridge, hasNeighbouringArea, Wordsley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wordsley
Context triple: [Stourbridge, hasNeighbouringArea, Wordsley]
  • A. Thorley
    Thorley is a village and civil parish in Hertfordshire, England, situated just southwest of the town of Bishop's Stortford.
  • B. Willaston
    Willaston is a village in Cheshire, England, situated near the town of Crewe.
  • C. Rowsley
    Rowsley is a village in Derbyshire, England, known for its scenic location near the Peak District and its historic railway and riverside setting.
  • D. Kearsley
    Kearsley is a town in Greater Manchester, England, historically part of Lancashire and known for its industrial heritage.
  • E. Glossop
    Glossop is a market town in Derbyshire, England, situated on the edge of the Peak District and historically associated with the textile industry.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Wordsley
Triple: [Stourbridge, hasNeighbouringArea, Wordsley]
Generated description
Wordsley is a suburban village in the West Midlands of England, situated near the town of Stourbridge and historically associated with the region’s glassmaking industry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wordsley
Target entity description: Wordsley is a suburban village in the West Midlands of England, situated near the town of Stourbridge and historically associated with the region’s glassmaking industry.
  • A. Thorley
    Thorley is a village and civil parish in Hertfordshire, England, situated just southwest of the town of Bishop's Stortford.
  • B. Willaston
    Willaston is a village in Cheshire, England, situated near the town of Crewe.
  • C. Rowsley
    Rowsley is a village in Derbyshire, England, known for its scenic location near the Peak District and its historic railway and riverside setting.
  • D. Kearsley
    Kearsley is a town in Greater Manchester, England, historically part of Lancashire and known for its industrial heritage.
  • E. Glossop
    Glossop is a market town in Derbyshire, England, situated on the edge of the Peak District and historically associated with the textile industry.
  • F. None of above. chosen

Provenance (5 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_69ca848d3b6c8190ae98ea554dea58df completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9c0cde048190b5a8e1548825d4d9 completed April 1, 2026, 10:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18a1422348190967943b0d4da8efd completed April 4, 2026, 10 p.m.
NEDg Description generation batch_69d18b66e79881909228aa3e1e34af26 completed April 4, 2026, 10:06 p.m.
NED2 Entity disambiguation (via description) batch_69d18bbfb1808190bd7f7ff4326af72c completed April 4, 2026, 10:07 p.m.
Created at: March 30, 2026, 8:14 p.m.