Triple

T21383894
Position Surface form Disambiguated ID Type / Status
Subject Waverley Bridge E527438 entity
Predicate municipality P852 FINISHED
Object City of Edinburgh NE NERFINISHED

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: City of Edinburgh | Statement: [Waverley Bridge, municipality, City of Edinburgh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Edinburgh
Context triple: [Waverley Bridge, municipality, City of Edinburgh]
  • A. Edinburgh chosen
    Edinburgh is the historic and cultural heart of Scotland, renowned for its medieval Old Town, elegant Georgian New Town, and world-famous arts festivals.
  • B. Glasgow
    Glasgow is Scotland’s largest city, historically a major industrial and shipbuilding center, known for its rich cultural scene, distinctive architecture, and role as a key urban hub in the United Kingdom.
  • C. Glasgow and Edinburgh
    Glasgow and Edinburgh are Scotland’s two largest and most prominent cities, serving as major cultural, economic, and transport hubs in the country.
  • D. Dundee
    Dundee is a coastal city in eastern Scotland known for its historic jute industry, maritime heritage, and contemporary cultural and design scene.
  • E. Dundee
    Dundee is a small village in Yates County, New York, known for its rural character within the Finger Lakes region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b51f363c8190944000ab5523b02b completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b0f164d08190a7df85451c082f53 completed April 22, 2026, 11:28 a.m.
Created at: April 16, 2026, 5:12 p.m.