Triple

T20109017
Position Surface form Disambiguated ID Type / Status
Subject Old Oak and Park Royal Opportunity Area E490276 entity
Predicate hasPart P35 FINISHED
Object Park Royal NE NERFINISHED

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 Royal | Statement: [Old Oak and Park Royal Opportunity Area, hasPart, Park Royal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Park Royal
Context triple: [Old Oak and Park Royal Opportunity Area, hasPart, Park Royal]
  • A. Park Royal chosen
    Park Royal is a major industrial and business district in northwest London, known as one of the largest industrial estates in Europe and a key regeneration area in the city.
  • B. Royal Plaza
    Royal Plaza is a historic public square in Bangkok, Thailand, known for its royal ceremonies and monuments near the Dusit Palace area.
  • C. Palace Towers
    Palace Towers is a section of the Prince's Palace of Monaco that forms part of the historic fortified residence of the Monegasque royal family.
  • D. Park Plaza
    Park Plaza is an upscale hotel brand known for stylish, full-service properties in major city and resort destinations, operated under the Radisson Hotel Group portfolio.
  • E. Langham Place
    Langham Place is a major shopping and commercial complex in Hong Kong known for its large mall, office tower, and distinctive modern architecture.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da62636cc08190982cc71733a17b8d completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e666df1b148190a28ead2f7cce7aab completed April 20, 2026, 5:48 p.m.
Created at: April 11, 2026, 11:28 p.m.