Triple

T16124495
Position Surface form Disambiguated ID Type / Status
Subject River Feugh E391231 entity
Predicate accessibleFrom P1985 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: [River Feugh, accessibleFrom, Banchory]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Banchory
Context triple: [River Feugh, accessibleFrom, 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_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2020408a88190bf3dfc893d577c55 completed April 17, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0179313470819090351e937ea34701 completed May 11, 2026, 6:37 a.m.
Created at: April 10, 2026, 5 a.m.