Triple

T13303027
Position Surface form Disambiguated ID Type / Status
Subject North Ealing E316860 entity
Predicate hasNearbyArea P4647 FINISHED
Object Park Royal E490275 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 Royal | Statement: [North Ealing, hasNearbyArea, Park Royal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Park Royal
Context triple: [North Ealing, hasNearbyArea, 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. 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.
  • E. Empire Palace
    Empire Palace was the original name of the historic Sunderland Empire Theatre, a major performing arts venue in Sunderland, England.
  • 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_69d806b40ab4819094adf6c374f4811a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d990a60eb08190bf0dc098ca7dc342 completed April 11, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716e161008190a48275ef54225d56 completed May 3, 2026, 9:35 a.m.
Created at: April 9, 2026, 9:28 p.m.