Triple

T23479618
Position Surface form Disambiguated ID Type / Status
Subject Boeing 737-900ER E570366 entity
Predicate typicalOperators P179 FINISHED
Object Turkish Airlines NE NERFINISHED

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: Turkish Airlines | Statement: [Boeing 737-900ER, typicalOperators, Turkish Airlines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Turkish Airlines
Context triple: [Boeing 737-900ER, typicalOperators, Turkish Airlines]
  • A. Turkish Airlines chosen
    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.
  • B. Pegasus Airlines
    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.
  • C. Buraq Air
    Buraq Air is a Libyan airline that operates domestic and regional flights, primarily serving routes within Libya and neighboring countries.
  • D. Alia Airlines
    Alia Airlines was the original name of Royal Jordanian, the flag carrier airline of Jordan.
  • E. Cyprus Airways
    Cyprus Airways is the former national flag carrier airline of Cyprus, historically operating regional and international flights from the island.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245af8a88819084f2704f6d265a92 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a74f48d8819080e875aaea8b46b3 completed April 29, 2026, 6:38 a.m.
Created at: April 17, 2026, 6:02 p.m.