Triple

T5676613
Position Surface form Disambiguated ID Type / Status
Subject Banff E125100 entity
Predicate historicCounty P1069 FINISHED
Object Banffshire E426909 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: Banffshire | Statement: [Banff, historicCounty, Banffshire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Banffshire
Context triple: [Banff, historicCounty, Banffshire]
  • A. Banffshire chosen
    Banffshire is a historic county in northeast Scotland, known for its rugged coastline along the Moray Firth and its traditional fishing and agricultural 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. Roxburghshire
    Roxburghshire is a historic county in the Scottish Borders, known for its rich medieval heritage and notable monastic sites.
  • D. Aberdeenshire
    Aberdeenshire is a large council area in northeastern Scotland known for its North Sea coastline, rural landscapes, and historic castles.
  • 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 (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_69c008295c808190acfe78915e7d656a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c023728f488190a3622844d78caa13 completed March 22, 2026, 5:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69d2ffaba9988190be59bf863c3b1f48 completed April 6, 2026, 12:34 a.m.
Created at: March 22, 2026, 3:43 p.m.