Triple

T11978289
Position Surface form Disambiguated ID Type / Status
Subject LTBJ E285090 entity
Predicate servesAirline P12356 FINISHED
Object Pegasus Airlines E161450 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: Pegasus Airlines | Statement: [LTBJ, servesAirline, Pegasus Airlines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pegasus Airlines
Context triple: [LTBJ, servesAirline, Pegasus Airlines]
  • A. Pegasus Airlines chosen
    Pegasus Airlines is a Turkish low-cost carrier based in Istanbul that operates an extensive network of domestic and international flights across Europe, the Middle East, and beyond.
  • B. Turkish Airlines
    Turkish Airlines is the national flag carrier airline of Turkey, operating an extensive global network of passenger and cargo flights across Europe, Asia, Africa, and the Americas.
  • C. Hunnu Air
    Hunnu Air is a Mongolian airline that operates domestic and regional international flights, primarily serving as a key carrier based in Ulaanbaatar.
  • D. Buraq Air
    Buraq Air is a Libyan airline that operates domestic and regional flights, primarily serving routes within Libya and neighboring countries.
  • E. Alia Airlines
    Alia Airlines was the original name of Royal Jordanian, the flag carrier airline of Jordan.
  • 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_69d6ab2eaeb881909f7914758f859413 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90393cfb08190b5b45d3e5e32fad3 completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f48a9628cc819095d15fd90023e57d completed May 1, 2026, 11:12 a.m.
Created at: April 8, 2026, 9:46 p.m.