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.