Triple

T5290579
Position Surface form Disambiguated ID Type / Status
Subject ENGM E119730 entity
Predicate hubFor P423 FINISHED
Object Scandinavian Airlines 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 | Statement: [ENGM, hubFor, Scandinavian Airlines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scandinavian Airlines
Context triple: [ENGM, hubFor, Scandinavian Airlines]
  • 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. Norwegian Air Shuttle
    Norwegian Air Shuttle is a low-cost Norwegian airline known for operating extensive short- and long-haul routes across Europe and beyond.
  • C. 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.
  • D. Widerøe
    Widerøe is a Norwegian regional airline known for operating an extensive network of domestic routes, particularly to smaller airports across Norway.
  • E. Braathens Regional Airlines
    Braathens Regional Airlines is a Swedish regional carrier that operates domestic and short-haul European flights, primarily serving business and commuter traffic.
  • 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_69bd446de5648190b313a90bd96730d2 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd84eac7b88190900142bd1310c0fd completed March 20, 2026, 5:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf21b22be08190ad5d3d6b12b80bcb completed March 21, 2026, 10:54 p.m.
Created at: March 20, 2026, 1:52 p.m.