Triple

T991069
Position Surface form Disambiguated ID Type / Status
Subject Dubai International Airport E21390 entity
Predicate locatedIn P40 FINISHED
Object Dubai E3323 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: Dubai | Statement: [Dubai International Airport, locatedIn, Dubai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dubai
Context triple: [Dubai International Airport, locatedIn, Dubai]
  • A. Dubai chosen
    Dubai is a major global city in the United Arab Emirates known for its rapid development, luxury tourism, and status as a regional business and financial hub.
  • B. Abu Dhabi
    Abu Dhabi is the capital and second-most populous city of the United Arab Emirates, known for its vast oil wealth, modern skyline, and role as a major political and economic center in the Arab world.
  • C. Sharjah
    Sharjah is a major cultural and economic center in the United Arab Emirates, known for its rich heritage, museums, and role as a hub of Islamic arts and education.
  • D. Dubai South
    Dubai South is a master-planned city in Dubai, United Arab Emirates, developed as an aviation and logistics hub and future urban center that hosted the Expo 2020 site.
  • E. Doha
    Doha is the rapidly developing capital and largest city of Qatar, known for its modern skyline, cultural institutions, and role as a major political and economic center in the Arab world.
  • 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_69a493c383dc8190a03257f22d4b4183 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b4c25e5081909ff1ada6b8bf617a completed March 1, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad3ffcca648190b73d39b92dafe0fe completed March 8, 2026, 9:23 a.m.
Created at: March 1, 2026, 7:41 p.m.