Triple

T1801658
Position Surface form Disambiguated ID Type / Status
Subject Rank Organisation E39732 entity
Predicate basedIn 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: [Rank Organisation, basedIn, Soho, London]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Soho, London
Context triple: [Rank Organisation, basedIn, Soho, London]
  • A. Soho chosen
    Soho is a vibrant central London district famed for its nightlife, entertainment venues, and diverse cultural scene.
  • B. Kensington Market
    Kensington Market is a vibrant, historically multicultural neighborhood in Toronto known for its eclectic shops, diverse food offerings, and bohemian street culture.
  • C. West End of London
    The West End of London is the city's famous central district known for its major shopping streets, theatres, entertainment venues, and cultural attractions.
  • D. West End
    West End is a historic neighborhood in Boston, Massachusetts, known for its mid-20th-century urban renewal that dramatically transformed its original residential character.
  • E. West End
    West End is a largely residential and commercial area in the western portion of Alexandria, Virginia, known for its diverse communities, apartment complexes, and proximity to major transportation routes.
  • 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_69a88632aa588190ba3978fde0db5bbd completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa656c4c5481908468c6e6f9c4bfc0 completed March 6, 2026, 5:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69adb5db1c7c81908c25e62dca1cb825 completed March 8, 2026, 5:46 p.m.
Created at: March 4, 2026, 7:32 p.m.