Triple

T15265182
Position Surface form Disambiguated ID Type / Status
Subject Kincardineshire E364880 entity
Predicate containsSettlement P847 FINISHED
Object Laurencekirk E175035 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: Laurencekirk | Statement: [Kincardineshire, containsSettlement, Laurencekirk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laurencekirk
Context triple: [Kincardineshire, containsSettlement, Laurencekirk]
  • A. Laurencekirk chosen
    Laurencekirk is a small town in Aberdeenshire, Scotland, known historically for its agricultural market and as a local service hub for the surrounding rural area.
  • B. Strensall
    Strensall is a village and civil parish in North Yorkshire, England, known for its nearby military training area and nature reserve.
  • C. Dalquhurn
    Dalquhurn is a small locality in Dunbartonshire, Scotland, best known as the birthplace of the 18th-century novelist Tobias Smollett.
  • D. Carbisdale
    Carbisdale is a location in Scotland best known as the site of a decisive 1650 battle during the Third English Civil War.
  • E. Red Harlaw
    Red Harlaw is a historical name for the Battle of Harlaw, a bloody 1411 clash in northeastern Scotland between Highland and Lowland forces that became legendary for its ferocity and high casualties.
  • 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_69d85a0f08408190b3c3259ae35d79d2 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00851c5b88190a296b6a105d3ee30 completed April 15, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee5fdc21881909d87062db6fb8fb7 completed May 9, 2026, 7:45 a.m.
Created at: April 10, 2026, 3:14 a.m.