Triple

T15737385
Position Surface form Disambiguated ID Type / Status
Subject JW Marriott Grosvenor House London E381507 entity
Predicate location P40 FINISHED
Object Park Lane E78086 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: Park Lane | Statement: [JW Marriott Grosvenor House London, location, Park Lane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Park Lane
Context triple: [JW Marriott Grosvenor House London, location, Park Lane]
  • A. Park Lane chosen
    Park Lane is a major road in central London known for its luxury hotels, upscale residences, and proximity to Hyde Park.
  • B. Park Lane
    Park Lane is the main shopping street and commercial hub of the town of Poynton in Cheshire, England.
  • C. Park Lane
    Park Lane is a prominent shopping and commercial area in the Whitefield district of Greater Manchester, England, featuring a variety of retail stores and local businesses.
  • D. Park Crescent
    Park Crescent is a grand, Regency-era crescent of stuccoed terraced houses in London, designed by architect John Nash as part of his masterplan for Regent’s Park.
  • E. Holland Park Avenue
    Holland Park Avenue is a major tree-lined thoroughfare in west London, known for its elegant residential buildings, shops, and proximity to Holland Park.
  • 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_69d86d9cdb648190bf3171be0bd7d872 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fd6eb888190b7a9b07b76e62c0d completed April 16, 2026, 2:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffa129a6448190affdee9d0b1362bc completed May 9, 2026, 9:03 p.m.
Created at: April 10, 2026, 4:46 a.m.