Triple

T8136372
Position Surface form Disambiguated ID Type / Status
Subject Savoy, London E189978 entity
Predicate near P350 FINISHED
Object Theatreland, London E376835 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: Theatreland, London | Statement: [Savoy, London, near, Theatreland, London]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Theatreland, London
Context triple: [Savoy, London, near, Theatreland, London]
  • A. Theatreland chosen
    Theatreland is the famous concentration of major commercial theatres in London’s West End, known for its long-running plays and musicals.
  • B. Savoy, London
    Savoy, London is a historic area on the Strand in central London, known for its royal associations and landmarks such as the Savoy Hotel and Savoy Theatre.
  • 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 village and port at the western tip of Tortola in the British Virgin Islands, known as a gateway for ferries and yachting.
  • 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_69ca82bd9900819099477cdc2eb4244f completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb440171d48190afa4a312ab19389c completed March 31, 2026, 3:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69cced2bba08819080c4a2bb8c9ba1f2 completed April 1, 2026, 10:02 a.m.
Created at: March 30, 2026, 5:35 p.m.