Triple

T15592346
Position Surface form Disambiguated ID Type / Status
Subject Clan Johnstone E374775 entity
Predicate hasSurnameVariant P457 FINISHED
Object Johnstone E278000 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: Johnstone | Statement: [Clan Johnstone, hasSurnameVariant, Johnstone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Johnstone
Context triple: [Clan Johnstone, hasSurnameVariant, Johnstone]
  • A. Johnstone chosen
    Johnstone is a small town in the council area of Renfrewshire in western Scotland, known historically for its textile and engineering industries.
  • B. Donside
    Donside is a region in Aberdeenshire, Scotland, centered around the River Don and known for its rural landscapes, historic estates, and traditional Scottish communities.
  • C. Motherwell
    Motherwell is a former industrial town in North Lanarkshire, Scotland, historically known as a major center of the steel industry.
  • D. Motherwell
    Motherwell is a large township in the Eastern Cape province of South Africa, situated within the Nelson Mandela Bay Metropolitan Municipality and known for its dense residential communities and socio-economic challenges.
  • E. Galashiels
    Galashiels is a town in the Scottish Borders known historically for its textile industry and as a regional commercial and educational hub.
  • 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_69d85cce25008190b13b52745fbd719b completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e5e43d48190a8fd367f13f1c7e1 completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003c4303888190a93830ef534715ae completed May 10, 2026, 8:05 a.m.
Created at: April 10, 2026, 4:12 a.m.