Triple

T4566345
Position Surface form Disambiguated ID Type / Status
Subject Cockpit Theatre E121918 entity
Predicate locatedIn P40 FINISHED
Object Marylebone E40485 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: Marylebone | Statement: [Cockpit Theatre, locatedIn, Marylebone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marylebone
Context triple: [Cockpit Theatre, locatedIn, Marylebone]
  • A. Marylebone chosen
    Marylebone is a central London district in the City of Westminster, known for its elegant Georgian architecture, upscale shopping streets, and cultural landmarks.
  • B. Muswell Hill
    Muswell Hill is a leafy, affluent suburban district in North London known for its Edwardian architecture, village-like high street, and panoramic views over the city.
  • C. Hampstead
    Hampstead is a historic and affluent district in north London, England, known for its literary and artistic associations and the expansive Hampstead Heath.
  • D. Hampstead
    Hampstead is a small, affluent residential town on the Island of Montreal in Quebec, Canada, known for its suburban character and tree-lined streets.
  • E. Edgware
    Edgware is a suburban district in north London known for its residential character, shopping facilities, and role as a transport hub on the London Underground.
  • 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_69bd463f156881908a99aca69c5721ac completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd589e35808190aa609bb04b128dbe completed March 20, 2026, 2:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69be03391b3481909fd41ac03abe5d1b completed March 21, 2026, 2:32 a.m.
Created at: March 20, 2026, 1:09 p.m.