Triple

T8910828
Position Surface form Disambiguated ID Type / Status
Subject Zone 1 E212175 entity
Predicate contains P35 FINISHED
Object Oxford Circus area E269559 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: Oxford Circus area | Statement: [Zone 1, contains, Oxford Circus area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oxford Circus area
Context triple: [Zone 1, contains, Oxford Circus area]
  • A. Oxford Circus chosen
    Oxford Circus is a major road junction and busy shopping and transport hub in London where Oxford Street meets Regent Street.
  • B. Regent Street shopping district
    Regent Street shopping district is a major central London retail area known for its elegant curved architecture, flagship stores, and role as one of the city’s premier shopping destinations.
  • C. Kensington Market
    Kensington Market is a vibrant, historically multicultural neighborhood in Toronto known for its eclectic shops, diverse food offerings, and bohemian street culture.
  • D. Leicester Square
    Leicester Square is a famous pedestrianized square in London’s West End, known for its cinemas, theatres, and entertainment venues.
  • E. Piccadilly Circus
    Piccadilly Circus is a famous London road junction and public space known for its illuminated advertising screens, statue of Eros, and role as a major tourist and entertainment hub.
  • 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_69ca8393b1808190bd4336787ffa2c40 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6523b9348190a7cefac9e73e2004 completed April 1, 2026, 12:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc1cdfa6c8190af7b6312c73d59f9 completed April 3, 2026, 1:34 p.m.
Created at: March 30, 2026, 6:55 p.m.