Triple

T15526780
Position Surface form Disambiguated ID Type / Status
Subject Tel Aviv Airport E369103 entity
Predicate usedByAirline P12356 FINISHED
Object Israir Airlines E274356 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: Israir Airlines | Statement: [Tel Aviv Airport, usedByAirline, Israir Airlines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Israir Airlines
Context triple: [Tel Aviv Airport, usedByAirline, Israir Airlines]
  • A. Israir Airlines chosen
    Israir Airlines is an Israeli airline that operates domestic and international flights, primarily serving leisure and tourist destinations from its base in Israel.
  • B. Badr Airlines
    Badr Airlines is a Sudanese airline that operates passenger and cargo services, primarily based in Khartoum.
  • C. Palestine Airways
    Palestine Airways was an early commercial airline that operated in the British Mandate of Palestine in the 1930s, providing regional passenger and mail services in the Eastern Mediterranean.
  • D. Autair International Airways
    Autair International Airways was a British charter airline of the 1950s–1960s that operated passenger and cargo services before evolving into Court Line.
  • 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_69d85a1794cc8190b0b428716296e63e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e04145178481909fb0339a79d4239e completed April 16, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56bb23e88190bb3e9ad5e409a2f8 completed May 9, 2026, 3:46 p.m.
Created at: April 10, 2026, 4:05 a.m.