Triple

T18822960
Position Surface form Disambiguated ID Type / Status
Subject Expo 2030 E460308 entity
Predicate siteLocation P3231 FINISHED
Object Riyadh Expo 2030 site (planned)
The Riyadh Expo 2030 site (planned) is a purpose-built exhibition and innovation district being developed in Saudi Arabia’s capital to host the World Expo 2030 and showcase the country’s vision for sustainable urban and economic transformation.
 E1344939 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: Riyadh Expo 2030 site (planned) | Statement: [Expo 2030, siteLocation, Riyadh Expo 2030 site (planned)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Riyadh Expo 2030 site (planned)
Context triple: [Expo 2030, siteLocation, Riyadh Expo 2030 site (planned)]
  • A. Abu Dhabi 2030 urban structure framework plan
    The Abu Dhabi 2030 urban structure framework plan is a long-term master planning strategy that guides the emirate’s growth into a sustainable, globally competitive city through coordinated land use, transportation, and infrastructure development.
  • B. King Abdullah Economic City
    King Abdullah Economic City is a large, master-planned coastal development in Saudi Arabia designed as a major economic, residential, and logistics hub on the Red Sea.
  • C. Greater Riyadh master plan
    The Greater Riyadh master plan is a comprehensive urban development blueprint for the expansion and organization of Riyadh, created by the renowned Greek urban planner Constantinos A. Doxiadis.
  • D. Jeddah Economic City
    Jeddah Economic City is a large-scale urban development project in Jeddah, Saudi Arabia, planned as a modern commercial and residential hub anchored by the landmark Kingdom Tower.
  • E. Expo City Dubai
    Expo City Dubai is a sustainable, mixed-use urban district in Dubai that evolved from the Expo 2020 site into a permanent hub for innovation, business, and culture.
  • 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: Riyadh Expo 2030 site (planned)
Triple: [Expo 2030, siteLocation, Riyadh Expo 2030 site (planned)]
Generated description
The Riyadh Expo 2030 site (planned) is a purpose-built exhibition and innovation district being developed in Saudi Arabia’s capital to host the World Expo 2030 and showcase the country’s vision for sustainable urban and economic transformation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Riyadh Expo 2030 site (planned)
Target entity description: The Riyadh Expo 2030 site (planned) is a purpose-built exhibition and innovation district being developed in Saudi Arabia’s capital to host the World Expo 2030 and showcase the country’s vision for sustainable urban and economic transformation.
  • A. Abu Dhabi 2030 urban structure framework plan
    The Abu Dhabi 2030 urban structure framework plan is a long-term master planning strategy that guides the emirate’s growth into a sustainable, globally competitive city through coordinated land use, transportation, and infrastructure development.
  • B. King Abdullah Economic City
    King Abdullah Economic City is a large, master-planned coastal development in Saudi Arabia designed as a major economic, residential, and logistics hub on the Red Sea.
  • C. Greater Riyadh master plan
    The Greater Riyadh master plan is a comprehensive urban development blueprint for the expansion and organization of Riyadh, created by the renowned Greek urban planner Constantinos A. Doxiadis.
  • D. Jeddah Economic City
    Jeddah Economic City is a large-scale urban development project in Jeddah, Saudi Arabia, planned as a modern commercial and residential hub anchored by the landmark Kingdom Tower.
  • E. Expo City Dubai
    Expo City Dubai is a sustainable, mixed-use urban district in Dubai that evolved from the Expo 2020 site into a permanent hub for innovation, business, and culture.
  • 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_69d8dcf94c288190a06dea029ae4b223 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5a6bbc7148190819252071a765975 completed April 20, 2026, 4:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a055bcea4fc8190bc9b9e23b1925b6f completed May 14, 2026, 5:21 a.m.
NEDg Description generation batch_6a055d25d9608190b70473a28a7d4333 completed May 14, 2026, 5:27 a.m.
NED2 Entity disambiguation (via description) batch_6a055dbba9a481909a8c7c4c6bdab27f completed May 14, 2026, 5:29 a.m.
Created at: April 10, 2026, 11:55 a.m.