Triple

T11864079
Position Surface form Disambiguated ID Type / Status
Subject Trongate E282237 entity
Predicate partOf P40 FINISHED
Object Merchant City E813762 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: Merchant City | Statement: [Trongate, partOf, Merchant City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Merchant City
Context triple: [Trongate, partOf, Merchant City]
  • A. Merchant City area chosen
    The Merchant City area is a historic and fashionable quarter in Glasgow known for its elegant architecture, cultural venues, restaurants, and boutique shopping.
  • B. River City
    River City is a popular nickname for Wuhan, a major central Chinese metropolis known for its location at the confluence of the Yangtze and Han rivers.
  • C. River City
    River City is a popular nickname for Sacramento, California, highlighting the city’s close connection to the nearby American and Sacramento Rivers.
  • D. River City
    River City is a popular nickname for Richmond, Virginia, highlighting the city's location along the James River and its historic riverfront character.
  • E. River City
    River City is a common nickname and place name in the United States, often referring to cities situated along major rivers and popularized in American culture and media.
  • 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_69d6ab2945d081908a5851c916cbcfb5 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a73883508190a78b5f4ba4a220df completed April 10, 2026, 7:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69f281844c048190b5476343113f2436 completed April 29, 2026, 10:09 p.m.
Created at: April 8, 2026, 9:43 p.m.