Triple

T12871530
Position Surface form Disambiguated ID Type / Status
Subject DAAG E307860 entity
Predicate servesAsHubFor P423 FINISHED
Object Tassili Airlines E307863 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: Tassili Airlines | Statement: [DAAG, servesAsHubFor, Tassili Airlines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tassili Airlines
Context triple: [DAAG, servesAsHubFor, Tassili Airlines]
  • A. Tassili Airlines chosen
    Tassili Airlines is an Algerian airline based in Algiers that operates domestic and regional flights, primarily serving the oil and gas industry and general passenger traffic.
  • B. 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.
  • C. Nile Air
    Nile Air is a privately owned Egyptian airline that operates domestic and regional flights across the Middle East, North Africa, and parts of Europe.
  • D. Hunnu Air
    Hunnu Air is a Mongolian airline that operates domestic and regional international flights, primarily serving as a key carrier based in Ulaanbaatar.
  • E. Tunisair
    Tunisair is the flag carrier airline of Tunisia, operating domestic and international flights primarily from its hub in Tunis.
  • 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d970905784819091631161a9de98c5 completed April 10, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69bb4b28c8190a4ec9cad4e1e0f05 completed May 3, 2026, 12:49 a.m.
Created at: April 9, 2026, 5:38 p.m.