Triple

T3199889
Position Surface form Disambiguated ID Type / Status
Subject Emirates E67024 entity
Predicate ICAOcode P419 FINISHED
Object UAE E12342 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: UAE | Statement: [Emirates, ICAOcode, UAE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UAE
Context triple: [Emirates, ICAOcode, UAE]
  • A. United Arab Emirates chosen
    The United Arab Emirates is a wealthy Gulf nation on the Arabian Peninsula known for its rapid modernization, iconic cities like Dubai and Abu Dhabi, and its large expatriate workforce.
  • B. Emirate of Abu Dhabi
    The Emirate of Abu Dhabi is the largest and wealthiest of the United Arab Emirates, serving as the federal capital and a major global center for oil production and sovereign wealth investment.
  • C. Ras Al Khaimah
    Ras Al Khaimah is one of the seven emirates of the United Arab Emirates, known for its mountains, desert landscapes, and growing tourism industry.
  • D. 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.
  • E. Qatar
    Qatar is a wealthy Gulf nation on the Arabian Peninsula known for its vast natural gas reserves, rapid modernization, and large expatriate workforce.
  • 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_69ad8589bd988190afa7ed2bdffb7b33 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada9ad4b1c8190bc6ad0f025f238c8 completed March 8, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e822b64c8190b053234690841d38 completed March 12, 2026, 4:21 p.m.
Created at: March 8, 2026, 3:07 p.m.