Triple

T1327119
Position Surface form Disambiguated ID Type / Status
Subject Lanarkshire E28353 entity
Predicate borderedBy P224 FINISHED
Object Peeblesshire
Peeblesshire is a historic county in the Scottish Borders region of Scotland, known for its rural landscapes and the town of Peebles.
E167240 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: Peeblesshire | Statement: [Lanarkshire, borderedBy, Peeblesshire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peeblesshire
Context triple: [Lanarkshire, borderedBy, Peeblesshire]
  • A. Stirlingshire
    Stirlingshire is a historic county in central Scotland centered on the city of Stirling, known for its strategic location and rich medieval and early modern history.
  • B. Forfarshire
    Forfarshire is the former historic name of the Scottish county now known as Angus.
  • C. Berwickshire
    Berwickshire is a historic county in the southeast of Scotland, bordering England and the North Sea, known for its rural landscapes and coastal scenery.
  • D. Peebles
    Peebles is a historic market town in the Scottish Borders, known for its scenic riverside setting, traditional architecture, and outdoor recreation.
  • E. Dumfriesshire
    Dumfriesshire is a historic county in the Southern Uplands of Scotland, known for its rural landscapes, market towns, and borderland history.
  • 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: Peeblesshire
Triple: [Lanarkshire, borderedBy, Peeblesshire]
Generated description
Peeblesshire is a historic county in the Scottish Borders region of Scotland, known for its rural landscapes and the town of Peebles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Peeblesshire
Target entity description: Peeblesshire is a historic county in the Scottish Borders region of Scotland, known for its rural landscapes and the town of Peebles.
  • A. Stirlingshire
    Stirlingshire is a historic county in central Scotland centered on the city of Stirling, known for its strategic location and rich medieval and early modern history.
  • B. Forfarshire
    Forfarshire is the former historic name of the Scottish county now known as Angus.
  • C. Berwickshire
    Berwickshire is a historic county in the southeast of Scotland, bordering England and the North Sea, known for its rural landscapes and coastal scenery.
  • D. Peebles
    Peebles is a historic market town in the Scottish Borders, known for its scenic riverside setting, traditional architecture, and outdoor recreation.
  • E. Dumfriesshire
    Dumfriesshire is a historic county in the Southern Uplands of Scotland, known for its rural landscapes, market towns, and borderland history.
  • 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_69a498540a2481909e807a762280d3ba completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c1c0a22881909eff0fc6c91a5f41 completed March 1, 2026, 10:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad0e62007081908dc993492e23dda5 completed March 8, 2026, 5:51 a.m.
NEDg Description generation batch_69ad0f6838bc8190b0a77eda44f1949e completed March 8, 2026, 5:55 a.m.
NED2 Entity disambiguation (via description) batch_69ad0fbdd20081909ea89e527a4e342e completed March 8, 2026, 5:57 a.m.
Created at: March 1, 2026, 7:55 p.m.