Triple

T2157263
Position Surface form Disambiguated ID Type / Status
Subject Lake of Dreams E47918 entity
Predicate designer P184 FINISHED
Object WET Design E113819 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: WET Design | Statement: [Lake of Dreams, designer, WET Design]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WET Design
Context triple: [Lake of Dreams, designer, WET Design]
  • A. WET Design chosen
    WET Design is a renowned water feature design firm best known for creating large-scale, choreographed fountains and immersive aquatic shows around the world.
  • B. DLA Design
    DLA Design is an architectural firm known for designing major public venues, including the Manchester Arena in the United Kingdom.
  • C. Lightwater
    Lightwater is a village and civil parish in the English county of Surrey, known for its residential character and proximity to heathland and countryside.
  • D. Weir
    Weir is a small village in Lancashire, England, situated within the Rossendale Valley and known for its moorland surroundings and former industrial heritage.
  • E. WED Enterprises
    WED Enterprises was Walt Disney’s original creative design and engineering company, best known as the forerunner to Walt Disney Imagineering and the force behind many early Disney theme park attractions.
  • 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_69a88a1d1fd8819088b34990d69a712f completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbe67d6888190b8d3c07527c8f80e completed March 7, 2026, 5:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae58e53fe481908fa4035ee98bd6ca completed March 9, 2026, 5:21 a.m.
Created at: March 4, 2026, 7:44 p.m.