Triple

T3220402
Position Surface form Disambiguated ID Type / Status
Subject Copenhagen Airport Kastrup E67497 entity
Predicate isHubFor P423 FINISHED
Object Norwegian Air Shuttle E28947 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: Norwegian Air Shuttle | Statement: [Copenhagen Airport Kastrup, isHubFor, Norwegian Air Shuttle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norwegian Air Shuttle
Context triple: [Copenhagen Airport Kastrup, isHubFor, Norwegian Air Shuttle]
  • A. Norwegian Air Shuttle chosen
    Norwegian Air Shuttle is a low-cost Norwegian airline known for operating extensive short- and long-haul routes across Europe and beyond.
  • B. Widerøe
    Widerøe is a Norwegian regional airline known for operating an extensive network of domestic routes, particularly to smaller airports across Norway.
  • C. Scandinavian Airlines
    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.
  • D. Det Norske Luftfartselskap
    Det Norske Luftfartselskap was a Norwegian airline company that became one of the key predecessors to the modern Scandinavian Airlines (SAS).
  • E. 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.
  • 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_69ad858b8adc8190ad989712c87a476b completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adae16f20081909d7f3bac016f961d completed March 8, 2026, 5:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2771be134819081809b2351517fdf completed March 12, 2026, 8:19 a.m.
Created at: March 8, 2026, 3:08 p.m.