Triple

T953461
Position Surface form Disambiguated ID Type / Status
Subject Dubai Fountain E20573 entity
Predicate designer P184 FINISHED
Object WET Design
WET Design is a renowned water feature design firm best known for creating large-scale, choreographed fountains and immersive aquatic shows around the world.
E113819 NE FINISHED

How this triple was built (4 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: [Dubai Fountain, designer, WET Design]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WET Design
Context triple: [Dubai Fountain, designer, WET Design]
  • A. DLA Design
    DLA Design is an architectural firm known for designing major public venues, including the Manchester Arena in the United Kingdom.
  • B. 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.
  • C. Linhouse Water
    Linhouse Water is a small river in West Lothian, Scotland, known for flowing through scenic woodland and forming part of the River Almond catchment.
  • D. Openwater
    Openwater is a medical imaging and neurotechnology company developing high-resolution, low-cost brain and body imaging devices using novel optics and holography techniques.
  • E. Worner
    Worner is a surname and variant spelling of "Warner," used by various individuals and families, particularly in English-speaking countries.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: WET Design
Triple: [Dubai Fountain, designer, WET Design]
Generated description
WET Design is a renowned water feature design firm best known for creating large-scale, choreographed fountains and immersive aquatic shows around the world.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: WET Design
Target entity description: WET Design is a renowned water feature design firm best known for creating large-scale, choreographed fountains and immersive aquatic shows around the world.
  • A. DLA Design
    DLA Design is an architectural firm known for designing major public venues, including the Manchester Arena in the United Kingdom.
  • B. 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.
  • C. Linhouse Water
    Linhouse Water is a small river in West Lothian, Scotland, known for flowing through scenic woodland and forming part of the River Almond catchment.
  • D. Openwater
    Openwater is a medical imaging and neurotechnology company developing high-resolution, low-cost brain and body imaging devices using novel optics and holography techniques.
  • E. Worner
    Worner is a surname and variant spelling of "Warner," used by various individuals and families, particularly in English-speaking countries.
  • F. None of above. chosen

Provenance (5 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_69a493b0f2fc81908cd227480a5356a1 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3d8f2e0819097554a301f8aa70f completed March 1, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac119fd16c81908c43b6d3dc6d53b6 completed March 7, 2026, 11:53 a.m.
NEDg Description generation batch_69ac12248f1c81908b9bd511e4363130 completed March 7, 2026, 11:55 a.m.
NED2 Entity disambiguation (via description) batch_69ac12c786ac81909938e043a1e2e8b9 completed March 7, 2026, 11:57 a.m.
Created at: March 1, 2026, 7:40 p.m.