Triple

T6501447
Position Surface form Disambiguated ID Type / Status
Subject Larnaca International Airport E148897 entity
Predicate hubFor P423 FINISHED
Object Cyprus Airways E599324 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: Cyprus Airways | Statement: [Larnaca International Airport, hubFor, Cyprus Airways]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cyprus Airways
Context triple: [Larnaca International Airport, hubFor, Cyprus Airways]
  • A. Cyprus Airways chosen
    Cyprus Airways is the former national flag carrier airline of Cyprus, historically operating regional and international flights from the island.
  • B. Aegean Airlines
    Aegean Airlines is the largest Greek airline, operating an extensive network of domestic and international flights across Europe and the Eastern Mediterranean.
  • C. Olympic Airways
    Olympic Airways was the former national airline of Greece, founded and owned for many years by shipping magnate Aristotle Onassis.
  • D. Olympic Air
    Olympic Air is a Greek regional airline that operates domestic and short-haul international flights, now functioning as a subsidiary brand under Aegean Airlines.
  • E. 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.
  • 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_69c687e9ad288190bae5bcac9c8ac855 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c68ad2e148819088be5c48ad73dc59 completed March 27, 2026, 1:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e40e173c819081b4f0ebcd136e6f completed March 27, 2026, 8:09 p.m.
Created at: March 27, 2026, 1:42 p.m.