Triple

T7797552
Position Surface form Disambiguated ID Type / Status
Subject A93 road E180337 entity
Predicate passesThrough P225 FINISHED
Object Banchory E386709 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: Banchory | Statement: [A93 road, passesThrough, Banchory]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Banchory
Context triple: [A93 road, passesThrough, Banchory]
  • A. Banchory chosen
    Banchory is a small town in northeast Scotland situated on the River Dee, known for its scenic surroundings and role as a gateway to Royal Deeside.
  • B. Crimond
    Crimond is a small rural village in Aberdeenshire, Scotland, known for its historic church and distinctive clock with an unusual 61-minute hour.
  • C. Galashiels
    Galashiels is a town in the Scottish Borders known historically for its textile industry and as a regional commercial and educational hub.
  • D. Kirriemuir
    Kirriemuir is a small historic town in eastern Scotland, best known as the birthplace of Peter Pan author J. M. Barrie.
  • E. Penicuik
    Penicuik is a small Scottish town situated to the south of Edinburgh, known historically for its paper mills and proximity to the Pentland Hills.
  • 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_69ca827d22208190b4dc5aa680edcf5d completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cae982c3b48190a35afe655fb20d55 completed March 30, 2026, 9:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1524be8c08190b4d979a677dc5958 completed April 4, 2026, 6:02 p.m.
Created at: March 30, 2026, 4:32 p.m.