Triple

T635767
Position Surface form Disambiguated ID Type / Status
Subject River Trent E16617 entity
Predicate flowsThrough P225 FINISHED
Object Stoke-on-Trent
Stoke-on-Trent is a city in Staffordshire, England, historically renowned as the heart of the British pottery industry.
 E102325 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: Stoke-on-Trent | Statement: [River Trent, flowsThrough, Stoke-on-Trent]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Stoke-on-Trent
Context triple: [River Trent, flowsThrough, Stoke-on-Trent]
  • A. Wolverhampton
    Wolverhampton is a large industrial city in England’s West Midlands, known historically for its role in the coal, steel, and manufacturing industries.
  • B. Nottingham
    Nottingham is a major city in the East Midlands of England, historically known for its lace-making and bicycle industries and famously associated with the legend of Robin Hood.
  • C. Coventry
    Coventry is a historic city in England, best known for its medieval cathedral destroyed in World War II and its symbolic postwar reconciliation efforts.
  • D. Telford
    Telford is a given name most notably associated with Telford Taylor, the American lawyer and chief prosecutor at the Nuremberg Trials.
  • E. Sheffield
    Sheffield is a major industrial city in South Yorkshire, England, historically renowned for its steel production and role in the Industrial Revolution.
  • 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: Stoke-on-Trent
Triple: [River Trent, flowsThrough, Stoke-on-Trent]
Generated description
Stoke-on-Trent is a city in Staffordshire, England, historically renowned as the heart of the British pottery industry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Stoke-on-Trent
Target entity description: Stoke-on-Trent is a city in Staffordshire, England, historically renowned as the heart of the British pottery industry.
  • A. Wolverhampton
    Wolverhampton is a large industrial city in England’s West Midlands, known historically for its role in the coal, steel, and manufacturing industries.
  • B. Nottingham
    Nottingham is a major city in the East Midlands of England, historically known for its lace-making and bicycle industries and famously associated with the legend of Robin Hood.
  • C. Coventry
    Coventry is a historic city in England, best known for its medieval cathedral destroyed in World War II and its symbolic postwar reconciliation efforts.
  • D. Telford
    Telford is a given name most notably associated with Telford Taylor, the American lawyer and chief prosecutor at the Nuremberg Trials.
  • E. Sheffield
    Sheffield is a major industrial city in South Yorkshire, England, historically renowned for its steel production and role in the Industrial Revolution.
  • 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_69a4936be1c88190af56540324b57da7 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49ee667f08190a0332b8f6c569e1a completed March 1, 2026, 8:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7a3a48ac88190bea34fc7df8b503e completed March 4, 2026, 3:14 a.m.
NEDg Description generation batch_69a7a533ce808190b4667c9485bac49d completed March 4, 2026, 3:21 a.m.
NED2 Entity disambiguation (via description) batch_69a7a5c2a95c8190b0d0a385ef035880 completed March 4, 2026, 3:23 a.m.
Created at: March 1, 2026, 7:35 p.m.