Triple

T12999522
Position Surface form Disambiguated ID Type / Status
Subject Abu Dhabi International Airport E322130 entity
Predicate servesAsFocusCityFor P1655 FINISHED
Object Wizz Air Abu Dhabi E95554 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: Wizz Air Abu Dhabi | Statement: [Abu Dhabi International Airport, servesAsFocusCityFor, Wizz Air Abu Dhabi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wizz Air Abu Dhabi
Context triple: [Abu Dhabi International Airport, servesAsFocusCityFor, Wizz Air Abu Dhabi]
  • A. Wizz Air chosen
    Wizz Air is a Hungarian ultra-low-cost airline known for operating an extensive network of budget flights across Europe and surrounding regions.
  • B. Air Arabia
    Air Arabia is a low-cost airline based in the United Arab Emirates, known for operating budget-friendly flights across the Middle East, North Africa, Asia, and Europe.
  • C. Buraq Air
    Buraq Air is a Libyan airline that operates domestic and regional flights, primarily serving routes within Libya and neighboring countries.
  • D. Batik Air
    Batik Air is an Indonesian full-service airline operating domestic and regional flights as part of the Lion Air Group.
  • E. SunExpress
    SunExpress is a Turkish-German leisure airline that primarily operates holiday and charter flights, especially to and from Turkey and popular European destinations.
  • 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_69d8076479b8819090afce3591939cdf completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e7b268c8190b8bb855e9de23c3b completed April 10, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c101ea60819098e4d5fb3a9e803a completed May 3, 2026, 3:29 a.m.
Created at: April 9, 2026, 8:46 p.m.