Triple

T2735402
Position Surface form Disambiguated ID Type / Status
Subject Water of Leith E60618 entity
Predicate passesThrough P225 FINISHED
Object Balerno E361013 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: Balerno | Statement: [Water of Leith, passesThrough, Balerno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Balerno
Context triple: [Water of Leith, passesThrough, Balerno]
  • A. Balerno chosen
    Balerno is a suburban village on the outskirts of Edinburgh, Scotland, known for its scenic setting near the Pentland Hills and its residential character.
  • B. Dunfermline
    Dunfermline is a historic Scottish town and former royal capital known for its medieval abbey and rich cultural heritage.
  • 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. Stirling
    Stirling is a historic Scottish city known for its medieval castle, strategic location, and role in key battles such as Stirling Bridge and Bannockburn.
  • E. Brechin
    Brechin is a historic town in eastern Scotland known for its medieval cathedral and one of the few surviving round towers in the country.
  • 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_69ab4b77febc819095603eb012cd141b completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb1022488190af84e536946b2e37 completed March 7, 2026, 8 a.m.
NED1 Entity disambiguation (via context triple) batch_69b44ec039e881909660350b98d79ba1 completed March 13, 2026, 5:52 p.m.
Created at: March 6, 2026, 9:56 p.m.