Triple

T726236
Position Surface form Disambiguated ID Type / Status
Subject Forfar E14731 entity
Predicate formerName P65 FINISHED
Object Forfarshire E18123 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: Forfarshire | Statement: [Forfar, formerName, Forfarshire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Forfarshire
Context triple: [Forfar, formerName, Forfarshire]
  • A. Forfarshire chosen
    Forfarshire is the former historic name of the Scottish county now known as Angus.
  • B. Dumfriesshire
    Dumfriesshire is a historic county in the Southern Uplands of Scotland, known for its rural landscapes, market towns, and borderland history.
  • C. 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.
  • D. 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.
  • 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_69a4934c753c81909b309027e48b9b3a completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a5a9adf08190bf2baade7e2e1c1c completed March 1, 2026, 8:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac5372f6b481909ef061889f91f6be completed March 7, 2026, 4:33 p.m.
Created at: March 1, 2026, 7:37 p.m.