Triple

T10413397
Position Surface form Disambiguated ID Type / Status
Subject SPARROW E245452 entity
Predicate usedBy P260 FINISHED
Object Scandinavian Airlines Ireland E49554 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: Scandinavian Airlines Ireland | Statement: [SPARROW, usedBy, Scandinavian Airlines Ireland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scandinavian Airlines Ireland
Context triple: [SPARROW, usedBy, Scandinavian Airlines Ireland]
  • A. Scandinavian Airlines chosen
    Scandinavian Airlines is the flag carrier of Denmark, Norway, and Sweden, operating as a major Nordic airline with an extensive European and intercontinental route network.
  • B. Icelandair
    Icelandair is the flag carrier airline of Iceland, operating international flights that connect North America and Europe via its hub near Reykjavík.
  • C. Aer Lingus
    Aer Lingus is the flag carrier airline of Ireland, operating international flights primarily between Ireland, Europe, and North America.
  • D. Finnair
    Finnair is the flag carrier and largest airline of Finland, operating an extensive network of domestic and international flights with a strong focus on routes between Europe and Asia.
  • E. Lynx Air
    Lynx Air is a Canadian ultra-low-cost airline that operates domestic and select international flights, primarily serving major hubs such as Toronto Pearson International Airport.
  • 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_69d381be340c8190b05998703d42d224 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea0ec6fc8190a71af759226a3cba completed April 7, 2026, 11:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69d9881d84588190a9117064a0950ac1 completed April 10, 2026, 11:30 p.m.
Created at: April 6, 2026, 12:10 p.m.