Triple

T19699716
Position Surface form Disambiguated ID Type / Status
Subject The Small World of Sammy Lee E473056 entity
Predicate settingLocation P40 FINISHED
Object Soho, London 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: Soho, London | Statement: [The Small World of Sammy Lee, settingLocation, Soho, London]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Soho, London
Context triple: [The Small World of Sammy Lee, settingLocation, 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
    Soho is a vibrant dining, nightlife, and entertainment district in Hong Kong known for its steep streets, trendy bars, and international restaurants.
  • C. Soho chosen
    Soho is a vibrant central London district famed for its nightlife, entertainment venues, and diverse cultural scene.
  • D. 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.
  • E. Kensington Market
    Kensington Market is a vibrant, historically multicultural neighborhood in Toronto known for its eclectic shops, diverse food offerings, and bohemian street culture.
  • 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_69d8e515bef88190bc30781aea50537a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e642b4e01081908f857f219d5d7a24 completed April 20, 2026, 3:13 p.m.
Created at: April 10, 2026, 1:46 p.m.