Triple

T5429166
Position Surface form Disambiguated ID Type / Status
Subject Uig E121439 entity
Predicate hasTraditionalCounty P17611 FINISHED
Object Ross and Cromarty E444909 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: Ross and Cromarty | Statement: [Uig, hasTraditionalCounty, Ross and Cromarty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ross and Cromarty
Context triple: [Uig, hasTraditionalCounty, Ross and Cromarty]
  • A. Ross and Cromarty chosen
    Ross and Cromarty is a historic region in the Scottish Highlands known for its rugged coastline, mountainous landscapes, and scattered rural communities.
  • 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. 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.
  • D. Roxburghshire
    Roxburghshire is a historic county in the Scottish Borders, known for its rich medieval heritage and notable monastic sites.
  • E. Aberdeenshire
    Aberdeenshire is a large council area in northeastern Scotland known for its North Sea coastline, rural landscapes, and historic castles.
  • 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_69bd463c65f0819082ee6483ab4b466a completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd883d1bfc8190859bb05cfab065c8 completed March 20, 2026, 5:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c02777c0908190a0aebbbca3b7b0a6 completed March 22, 2026, 5:31 p.m.
Created at: March 20, 2026, 2:06 p.m.