Triple

T11093919
Position Surface form Disambiguated ID Type / Status
Subject Last Night in Soho E262324 entity
Predicate filmingLocation P40 FINISHED
Object Soho, London E22316 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: Soho, London | Statement: [Last Night in Soho, filmingLocation, Soho, London]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Soho, London
Context triple: [Last Night in Soho, filmingLocation, Soho, London]
  • A. Soho
    Soho is an inner-city district of Birmingham, England, historically known for its industrial heritage and diverse local community.
  • B. Soho chosen
    Soho is a vibrant central London district famed for its nightlife, entertainment venues, and diverse cultural scene.
  • C. East Village, London
    East Village, London is a modern residential neighborhood in Stratford built on the former London 2012 Olympic Village site, featuring contemporary housing, green spaces, and community amenities.
  • D. Kensington Market
    Kensington Market is a vibrant, historically multicultural neighborhood in Toronto known for its eclectic shops, diverse food offerings, and bohemian street culture.
  • E. Westend
    Westend is a prominent and affluent district in Frankfurt am Main, Germany, known for its elegant residential areas and concentration of banks and corporate offices.
  • 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d799ed12d88190a4ad8c346d68f11f completed April 9, 2026, 12:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69e42d69c8b4819092614e83e855430e completed April 19, 2026, 1:18 a.m.
Created at: April 8, 2026, 9:27 p.m.