Triple

T12298770
Position Surface form Disambiguated ID Type / Status
Subject DNAA E293160 entity
Predicate servesAsHubFor P423 FINISHED
Object Arik Air E289825 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: Arik Air | Statement: [DNAA, servesAsHubFor, Arik Air]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arik Air
Context triple: [DNAA, servesAsHubFor, Arik Air]
  • A. Arik Air chosen
    Arik Air is a Nigerian airline that operates domestic, regional, and international flights, and is one of the country’s major carriers.
  • B. Afriqiyah Airways
    Afriqiyah Airways is a Libyan state-owned airline based in Tripoli that operates scheduled passenger services across Africa, Europe, and the Middle East.
  • C. Alia Airlines
    Alia Airlines was the original name of Royal Jordanian, the flag carrier airline of Jordan.
  • D. Kam Air
    Kam Air is a privately owned Afghan airline based in Kabul that operates domestic and international passenger flights.
  • E. Buraq Air
    Buraq Air is a Libyan airline that operates domestic and regional flights, primarily serving routes within Libya and neighboring countries.
  • 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_69d6ab690ad081908c0ed3870ec82d53 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93eda55148190b720e479163d36e7 completed April 10, 2026, 6:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69f634667db88190ac1368dc38daac73 completed May 2, 2026, 5:29 p.m.
Created at: April 8, 2026, 9:52 p.m.