Triple

T1818328
Position Surface form Disambiguated ID Type / Status
Subject Marylebone E40485 entity
Predicate near P350 FINISHED
Object Fitzrovia E161762 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: Fitzrovia | Statement: [Marylebone, near, Fitzrovia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fitzrovia
Context triple: [Marylebone, near, Fitzrovia]
  • A. Fitzrovia chosen
    Fitzrovia is a central London neighborhood known for its mix of historic architecture, creative industries, and a vibrant dining and nightlife scene.
  • B. Hampstead
    Hampstead is a historic and affluent district in north London, England, known for its literary and artistic associations and the expansive Hampstead Heath.
  • C. 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.
  • 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. Hammersmith
    Hammersmith is a district in West London known as a major commercial and transport hub along the River Thames.
  • 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_69a8864526c081908a3a4d74f689e2c5 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa65f8c4e48190925aec9916dd6c30 completed March 6, 2026, 5:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae95e5cf008190a6638bb2c8d4d505 completed March 9, 2026, 9:41 a.m.
Created at: March 4, 2026, 7:32 p.m.