Triple

T882260
Position Surface form Disambiguated ID Type / Status
Subject River Tweed E19051 entity
Predicate passesThrough P225 FINISHED
Object Peebles
Peebles is a historic market town in the Scottish Borders, known for its scenic riverside setting, traditional architecture, and outdoor recreation.
 E116839 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: Peebles | Statement: [River Tweed, passesThrough, Peebles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Peebles
Context triple: [River Tweed, passesThrough, Peebles]
  • A. Culross
    Culross is a historic coastal village in Fife, Scotland, known for its well-preserved 16th–17th century buildings and picturesque harbour.
  • B. Galloway
    Galloway is a historic region in southwestern Scotland known for its rugged coastline, rural landscapes, and medieval ties to powerful Scottish clans.
  • C. Bulkington
    Bulkington is a village in Warwickshire, England, known for its historic rural character and traditional English countryside setting.
  • D. Harpley
    Harpley is a small rural village in Norfolk, England, known for its traditional English countryside setting and historic parish church.
  • E. Hillington
    Hillington is a small village and civil parish in Norfolk, England, known for its rural setting and historic country estate, Hillington Hall.
  • 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: Peebles
Triple: [River Tweed, passesThrough, Peebles]
Generated description
Peebles is a historic market town in the Scottish Borders, known for its scenic riverside setting, traditional architecture, and outdoor recreation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Peebles
Target entity description: Peebles is a historic market town in the Scottish Borders, known for its scenic riverside setting, traditional architecture, and outdoor recreation.
  • A. Culross
    Culross is a historic coastal village in Fife, Scotland, known for its well-preserved 16th–17th century buildings and picturesque harbour.
  • B. Galloway
    Galloway is a historic region in southwestern Scotland known for its rugged coastline, rural landscapes, and medieval ties to powerful Scottish clans.
  • C. Bulkington
    Bulkington is a village in Warwickshire, England, known for its historic rural character and traditional English countryside setting.
  • D. Harpley
    Harpley is a small rural village in Norfolk, England, known for its traditional English countryside setting and historic parish church.
  • E. Hillington
    Hillington is a small village and civil parish in Norfolk, England, known for its rural setting and historic country estate, Hillington Hall.
  • 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_69a4939c32488190a7ccd41cf0abb22b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4accc863c8190be9e5350732c30b1 completed March 1, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac257f3b2c819082a16c7242d89404 completed March 7, 2026, 1:17 p.m.
NEDg Description generation batch_69ac25e6cc608190a717c7991936c3a5 completed March 7, 2026, 1:19 p.m.
NED2 Entity disambiguation (via description) batch_69ac264b6bc08190a18c4f61ea6eb0f4 completed March 7, 2026, 1:21 p.m.
Created at: March 1, 2026, 7:39 p.m.