Triple

T4702000
Position Surface form Disambiguated ID Type / Status
Subject Dubai Design District E104294 entity
Predicate brandingName P1500 FINISHED
Object d3
d3 is a purpose-built creative hub in Dubai that fosters design, fashion, art, and innovation through studios, galleries, offices, and community events.
 E462795 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: d3 | Statement: [Dubai Design District, brandingName, d3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: d3
Context triple: [Dubai Design District, brandingName, d3]
  • A. D3
    D3 is the commonly used abbreviation for California Department of Transportation's District 3, which oversees state transportation infrastructure in part of Northern California.
  • B. D3
    D3 is one of the commuter rail lines of the Moscow Central Diameters urban rail system, connecting Moscow with its surrounding suburbs.
  • C. D3A
    D3A is the Japanese Navy designation for the Aichi D3A, a World War II carrier-based dive bomber used prominently in early Pacific War operations.
  • D. DAG
    DAG is the National Rail station code for Dalgety Bay railway station in Fife, Scotland.
  • E. DS
    DS was the communist-era Bulgarian State Security service, responsible for internal repression, intelligence, and secret police activities in the People’s Republic of Bulgaria.
  • 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: d3
Triple: [Dubai Design District, brandingName, d3]
Generated description
d3 is a purpose-built creative hub in Dubai that fosters design, fashion, art, and innovation through studios, galleries, offices, and community events.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: d3
Target entity description: d3 is a purpose-built creative hub in Dubai that fosters design, fashion, art, and innovation through studios, galleries, offices, and community events.
  • A. D3
    D3 is one of the commuter rail lines of the Moscow Central Diameters urban rail system, connecting Moscow with its surrounding suburbs.
  • B. D3
    D3 is the commonly used abbreviation for California Department of Transportation's District 3, which oversees state transportation infrastructure in part of Northern California.
  • C. D3A
    D3A is the Japanese Navy designation for the Aichi D3A, a World War II carrier-based dive bomber used prominently in early Pacific War operations.
  • D. DAG
    DAG is the National Rail station code for Dalgety Bay railway station in Fife, Scotland.
  • E. DS
    DS was the communist-era Bulgarian State Security service, responsible for internal repression, intelligence, and secret police activities in the People’s Republic of Bulgaria.
  • 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_69bd43e9b88481908582103dcadff3d9 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd63cec7988190b5f1d04d4f95314a completed March 20, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69be03cd8cd4819081a7988b5945067f completed March 21, 2026, 2:34 a.m.
NEDg Description generation batch_69be04c5549c819087204ac7e2e0e8ea completed March 21, 2026, 2:39 a.m.
NED2 Entity disambiguation (via description) batch_69be05970dcc8190a86771d09f27d9f2 completed March 21, 2026, 2:42 a.m.
Created at: March 20, 2026, 1:17 p.m.