Triple

T17300134
Position Surface form Disambiguated ID Type / Status
Subject Emirates Team New Zealand E420018 entity
Predicate sponsor P67 FINISHED
Object Emirates E67024 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: Emirates | Statement: [Emirates Team New Zealand, sponsor, Emirates]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emirates
Context triple: [Emirates Team New Zealand, 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 (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_69d886db32608190a61e18862c5a8af6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e438f9e5ac8190ba0b5820790112d9 completed April 19, 2026, 2:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0180da5b808190857c51aaa2e85339 completed May 11, 2026, 7:10 a.m.
Created at: April 10, 2026, 5:41 a.m.