Triple

T390345
Position Surface form Disambiguated ID Type / Status
Subject Pittenweem E8865 entity
Predicate traditionalLanguage P6149 FINISHED
Object Scots E4354 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: Scots | Statement: [Pittenweem, traditionalLanguage, Scots]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scots
Context triple: [Pittenweem, traditionalLanguage, Scots]
  • A. Scots chosen
    Scots is a West Germanic language historically spoken in Lowland Scotland and parts of Ulster, closely related to English but with its own distinct vocabulary, grammar, and literary tradition.
  • B. Scottish English
    Scottish English is the variety of English spoken in Scotland, characterized by distinct pronunciation, vocabulary, and influences from Scots and Gaelic.
  • C. Scottish Gaelic
    Scottish Gaelic is a Celtic language native to Scotland, historically spoken in the Highlands and Islands and closely related to Irish and Manx.
  • D. Goidelic
    Goidelic is the branch of Celtic languages that includes Irish, Scottish Gaelic, and Manx.
  • E. Scotland
    Scotland is a country in the northern part of the United Kingdom, known for its distinct cultural heritage, historic castles, rugged landscapes, and major cities such as Edinburgh and Glasgow.
  • 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_69a2e7f55c60819097aff65ea2ca2832 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ee2c2d1881909aa1ccfaa4172b38 completed Feb. 28, 2026, 1:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4035310608190a1e0f807cb93e1e1 completed March 1, 2026, 9:13 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.