Triple

T10629259
Position Surface form Disambiguated ID Type / Status
Subject Mid Wales E250407 entity
Predicate contains P35 FINISHED
Object Presteigne
Presteigne is a small historic market town on the English–Welsh border, known for its preserved architecture and rural setting.
 E875747 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: Presteigne | Statement: [Mid Wales, contains, Presteigne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Presteigne
Context triple: [Mid Wales, contains, Presteigne]
  • A. Pewsey
    Pewsey is a large village and civil parish in Wiltshire, England, situated in the Vale of Pewsey and known for its rural setting and historic market-town character.
  • 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. Culcheth
    Culcheth is a large village and civil parish in Cheshire, England, known for its residential character and proximity to the town of Warrington.
  • E. Coryton
    Coryton is a suburban area and railway terminus in Cardiff, Wales, served by local commuter trains.
  • 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: Presteigne
Triple: [Mid Wales, contains, Presteigne]
Generated description
Presteigne is a small historic market town on the English–Welsh border, known for its preserved architecture and rural setting.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Presteigne
Target entity description: Presteigne is a small historic market town on the English–Welsh border, known for its preserved architecture and rural setting.
  • A. Pewsey
    Pewsey is a large village and civil parish in Wiltshire, England, situated in the Vale of Pewsey and known for its rural setting and historic market-town character.
  • 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. Culcheth
    Culcheth is a large village and civil parish in Cheshire, England, known for its residential character and proximity to the town of Warrington.
  • E. Coryton
    Coryton is a suburban area and railway terminus in Cardiff, Wales, served by local commuter trains.
  • 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_69d6aa5993448190a493b790b8f85010 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6df92f8388190a8bcff96809d8eb4 completed April 8, 2026, 11:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69d96babc290819096c0c914d038ba01 completed April 10, 2026, 9:29 p.m.
NEDg Description generation batch_69d96def8bfc81909d6a5addf724691b completed April 10, 2026, 9:38 p.m.
NED2 Entity disambiguation (via description) batch_69d96fedb18881908570593856f4aade completed April 10, 2026, 9:47 p.m.
Created at: April 8, 2026, 9 p.m.