Triple

T7246534
Position Surface form Disambiguated ID Type / Status
Subject The Holy Fair E156483 entity
Predicate setting P1957 FINISHED
Object Mauchline E275206 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: Mauchline | Statement: [The Holy Fair, setting, Mauchline]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mauchline
Context triple: [The Holy Fair, setting, Mauchline]
  • A. Mauchline chosen
    Mauchline is a village in East Ayrshire, Scotland, best known for its close association with the poet Robert Burns, who lived and wrote there.
  • B. Cambuslang
    Cambuslang is a suburban town in Scotland situated near Glasgow, known historically for its coal mining and industrial heritage.
  • C. Lesmahagow
    Lesmahagow is a small town in South Lanarkshire, Scotland, known historically for its abbey and rural surroundings.
  • D. Neilston
    Neilston is a village in East Renfrewshire, Scotland, situated southwest of Glasgow and known historically for its textile industry and commuter links to the city.
  • E. Baillieston
    Baillieston is a residential suburb in the east end of Glasgow, Scotland, situated near major transport routes including the M73 motorway.
  • 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_69c68827b5e481908dc05e145b2c92d4 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ea5a8bbc8190bf16747dbdd65ce8 completed March 27, 2026, 8:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c96bf63cfc8190a89a674e0e666134 completed March 29, 2026, 6:14 p.m.
Created at: March 27, 2026, 2:56 p.m.