Triple

T4858335
Position Surface form Disambiguated ID Type / Status
Subject Kinnaird E108591 entity
Predicate historicRegion P915 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: [Kinnaird, historicRegion, Forfarshire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Forfarshire
Context triple: [Kinnaird, historicRegion, 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. Roxburghshire
    Roxburghshire is a historic county in the Scottish Borders, known for its rich medieval heritage and notable monastic sites.
  • D. Caithness
    Caithness is a historic county in the far north of Scotland, known for its rugged coastline, Norse-Gaelic heritage, and long association with the Sinclair family.
  • E. Selkirkshire
    Selkirkshire is a historic county in the Scottish Borders, known for its rural landscapes and literary associations, particularly with Sir Walter Scott.
  • 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_69bd440b965081908b0557721cae6338 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d5b2f008190a5fd11d3aec165fb completed March 20, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69c124d359ec819086420b7e00b8d630 completed March 23, 2026, 11:32 a.m.
Created at: March 20, 2026, 1:26 p.m.