Triple

T3679997
Position Surface form Disambiguated ID Type / Status
Subject Park Lane E78086 entity
Predicate hasJunctionWith P1018 FINISHED
Object Edgware Road E95936 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: Edgware Road | Statement: [Park Lane, hasJunctionWith, Edgware Road]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edgware Road
Context triple: [Park Lane, hasJunctionWith, Edgware Road]
  • A. Edgware Road chosen
    Edgware Road is a major thoroughfare in northwest London known for its diverse communities, Middle Eastern restaurants, and role as a key route into central London.
  • B. Marylebone Road
    Marylebone Road is a major thoroughfare in central London, known for its heavy traffic and proximity to notable institutions and landmarks.
  • C. Wardour Street
    Wardour Street is a well-known street in London’s Soho district, historically associated with the film industry, music venues, and vibrant nightlife.
  • D. Finchley Road
    Finchley Road is a London Underground station in north-west London that provides interchange between the Metropolitan and Jubilee lines.
  • E. Tottenham Court Road
    Tottenham Court Road is a major shopping and entertainment street in central London, known for its electronics stores, proximity to the West End, and busy Underground station.
  • 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_69ad85e18c1c8190be8aafb227f39f48 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc49039308190b33082e2b58aa5cf completed March 8, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69befe3ba3848190bcd62dd21229ca67 completed March 21, 2026, 8:23 p.m.
Created at: March 8, 2026, 3:25 p.m.