Triple

T7843702
Position Surface form Disambiguated ID Type / Status
Subject River Coquet E181866 entity
Predicate flowsThrough P225 FINISHED
Object Brinkburn
Brinkburn is a small historic locality in Northumberland, England, best known for the medieval Brinkburn Priory set in a wooded loop of the River Coquet.
E698993 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: Brinkburn | Statement: [River Coquet, flowsThrough, Brinkburn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brinkburn
Context triple: [River Coquet, flowsThrough, Brinkburn]
  • A. Coldingham
    Coldingham is a historic coastal village in the Scottish Borders, known for its ancient priory and nearby Coldingham Bay.
  • B. Cullingsburgh
    Cullingsburgh is a small settlement on the island of Bressay in the Shetland Islands of Scotland.
  • C. Winchburgh
    Winchburgh is a rapidly growing village in West Lothian, Scotland, known for its major housing and infrastructure expansion projects transforming it into a new town.
  • D. Barnardiston
    Barnardiston is a small rural village and civil parish located in the English county of Suffolk.
  • E. Leyburn
    Leyburn is a small market town in North Yorkshire, England, serving as a popular gateway and service hub for visitors to the Yorkshire Dales.
  • 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: Brinkburn
Triple: [River Coquet, flowsThrough, Brinkburn]
Generated description
Brinkburn is a small historic locality in Northumberland, England, best known for the medieval Brinkburn Priory set in a wooded loop of the River Coquet.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Brinkburn
Target entity description: Brinkburn is a small historic locality in Northumberland, England, best known for the medieval Brinkburn Priory set in a wooded loop of the River Coquet.
  • A. Coldingham
    Coldingham is a historic coastal village in the Scottish Borders, known for its ancient priory and nearby Coldingham Bay.
  • B. Cullingsburgh
    Cullingsburgh is a small settlement on the island of Bressay in the Shetland Islands of Scotland.
  • C. Winchburgh
    Winchburgh is a rapidly growing village in West Lothian, Scotland, known for its major housing and infrastructure expansion projects transforming it into a new town.
  • D. Barnardiston
    Barnardiston is a small rural village and civil parish located in the English county of Suffolk.
  • E. Leyburn
    Leyburn is a small market town in North Yorkshire, England, serving as a popular gateway and service hub for visitors to the Yorkshire Dales.
  • 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_69ca8285d6488190a95d4c02d7354b53 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb163c72248190b53bc53980e8ac0f completed March 31, 2026, 12:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5ae9758c819091e270343ed289aa completed March 31, 2026, 5:26 a.m.
NEDg Description generation batch_69cb762dd8348190bf74be4e7f5df1e7 completed March 31, 2026, 7:22 a.m.
NED2 Entity disambiguation (via description) batch_69cbb24068908190977b266366e5ceea completed March 31, 2026, 11:38 a.m.
Created at: March 30, 2026, 4:48 p.m.