Triple

T10829696
Position Surface form Disambiguated ID Type / Status
Subject W1 postcode district E255584 entity
Predicate containsNeighbourhood P4813 FINISHED
Object Soho 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 | Statement: [W1 postcode district, containsNeighbourhood, Soho]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Soho
Context triple: [W1 postcode district, containsNeighbourhood, Soho]
  • A. Soho chosen
    Soho is a vibrant central London district famed for its nightlife, entertainment venues, and diverse cultural scene.
  • B. Soho
    Soho is an inner-city district of Birmingham, England, historically known for its industrial heritage and diverse local community.
  • C. 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.
  • 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. West End
    West End is a historic, residential neighborhood in Hartford, Connecticut, known for its tree-lined streets, diverse community, and distinctive late-19th- and early-20th-century architecture.
  • 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_69d6aa8081448190a9324184f2bd1c26 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d74420fa188190b5b3c59e1a9f551d completed April 9, 2026, 6:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69de85a068b08190948c3ca32cdda147 completed April 14, 2026, 6:21 p.m.
Created at: April 8, 2026, 9:19 p.m.