Triple

T7012368
Position Surface form Disambiguated ID Type / Status
Subject The Mearns E162612 entity
Predicate hasSettlement P1068 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: [The Mearns, hasSettlement, Laurencekirk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laurencekirk
Context triple: [The Mearns, hasSettlement, 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. Carbisdale
    Carbisdale is a location in Scotland best known as the site of a decisive 1650 battle during the Third English Civil War.
  • D. Brodick
    Brodick is the main village and ferry port on the Isle of Arran in Scotland, known as a gateway for visitors to the island.
  • E. Tillicoultry
    Tillicoultry is a small town in central Scotland, situated at the foot of the Ochil Hills and historically known for its textile and woollen industries.
  • 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_69c6885a127c8190867b059bdccf13ff completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dc58b04c8190af4913dbaf43c3d4 completed March 27, 2026, 7:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c76a4ff6148190a7a453328507fd6b completed March 28, 2026, 5:42 a.m.
Created at: March 27, 2026, 2:34 p.m.