Triple

T14000545
Position Surface form Disambiguated ID Type / Status
Subject Tim Clark E336808 entity
Predicate employer P7 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: [Tim Clark, employer, Emirates]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emirates
Context triple: [Tim Clark, employer, 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_69d81c645c5c8190b1fd16a285a1b78a completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2eb81b208190a961e49a02fa4140 completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7d691008190a38729d18de2bb91 completed May 7, 2026, 8:36 p.m.
Created at: April 9, 2026, 10:19 p.m.