Triple

T23364442
Position Surface form Disambiguated ID Type / Status
Subject Emirates Airline Park E593273 entity
Predicate sponsor P67 FINISHED
Object Emirates NE NERFINISHED

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: Emirates | Statement: [Emirates Airline Park, sponsor, Emirates]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emirates
Context triple: [Emirates Airline Park, sponsor, Emirates]
  • A. Emirates chosen
    Emirates is a major Dubai-based international airline renowned for its extensive global route network and premium in-flight services.
  • B. emirates
    Emirates are traditional Muslim principalities ruled by emirs, commonly found in parts of West Africa and the Middle East.
  • C. Etihad Airways
    Etihad Airways is the national airline of the United Arab Emirates, based in Abu Dhabi and operating an extensive network of international passenger and cargo flights.
  • D. Emirates NBD
    Emirates NBD is one of the largest banking groups in the Middle East, offering a wide range of retail, corporate, and investment banking services primarily in the United Arab Emirates and the wider MENA region.
  • E. Saudia
    Saudia is the flag carrier airline of Saudi Arabia, operating an extensive network of domestic and international flights across the Middle East, Asia, Africa, Europe, and North America.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e25d2593c88190bcdf4a716a94ccb2 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a0aac4248190a4663ed12aed6856 completed April 29, 2026, 6:09 a.m.
Created at: April 17, 2026, 5:31 p.m.