Triple

T449942
Position Surface form Disambiguated ID Type / Status
Subject Clan Douglas E7104 entity
Predicate region P40 FINISHED
Object Dumfriesshire E56824 NE FINISHED

How this triple was built (2 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: Dumfriesshire | Statement: [Clan Douglas, region, Dumfriesshire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dumfriesshire
Context triple: [Clan Douglas, region, Dumfriesshire]
  • A. Dumfriesshire chosen
    Dumfriesshire is a historic county in the Southern Uplands of Scotland, known for its rural landscapes, market towns, and borderland history.
  • B. Clackmannanshire
    Clackmannanshire is a small historic county and council area in central Scotland, known for its location along the River Forth and its administrative centre at Alloa.
  • C. 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.
  • D. Forfarshire
    Forfarshire is the former historic name of the Scottish county now known as Angus.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a2e7e4676c81909ea0dbdecac0687c completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ef691cc8819091729eaac52c9457 completed Feb. 28, 2026, 1:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4efc821b48190af6d3cd88ab3f980 completed March 2, 2026, 2:02 a.m.
Created at: Feb. 28, 2026, 1:12 p.m.