Triple

T15775188
Position Surface form Disambiguated ID Type / Status
Subject Machars E382470 entity
Predicate historicalRegion P915 FINISHED
Object Wigtownshire NE NERFINISHED

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: Wigtownshire | Statement: [Machars, historicalRegion, Wigtownshire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wigtownshire
Context triple: [Machars, historicalRegion, Wigtownshire]
  • A. Wigtownshire chosen
    Wigtownshire is a historic county in the southwest of Scotland, known for its rural landscapes and coastal towns on the shores of the Irish Sea.
  • B. Selkirkshire
    Selkirkshire is a historic county in the Scottish Borders, known for its rural landscapes and literary associations, particularly with Sir Walter Scott.
  • 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. 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.
  • 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.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d86da09a10819082fe9797b23e4664 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e05198c1588190a65e23c18443eb5c completed April 16, 2026, 3:03 a.m.
Created at: April 10, 2026, 4:47 a.m.