Triple

T4609199
Position Surface form Disambiguated ID Type / Status
Subject Mearns (partly) E100512 entity
Predicate relatedTo P37 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: [Mearns (partly), relatedTo, Forfarshire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Forfarshire
Context triple: [Mearns (partly), relatedTo, 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_69bd43cce1e08190a07d53af6a9b6c24 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd599f08d88190ad4bed8bafb592cd completed March 20, 2026, 2:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11c83f8bc8190bdf139c9da2dd66b completed March 23, 2026, 10:57 a.m.
Created at: March 20, 2026, 1:12 p.m.