Triple

T21000092
Position Surface form Disambiguated ID Type / Status
Subject Oslo Airport, Fornebu E517261 entity
Predicate wasMainAirportFor P281 FINISHED
Object Oslo NE NERFINISHED

How this triple was built (3 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: Oslo | Statement: [Oslo Airport, Fornebu, wasMainAirportFor, Oslo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oslo
Context triple: [Oslo Airport, Fornebu, wasMainAirportFor, Oslo]
  • A. Oslo chosen
    Oslo is the capital and largest city of Norway, known as a major cultural, economic, and governmental center.
  • B. Oslo
    Oslo is a collection of shared libraries that provide common code and patterns used across various OpenStack projects.
  • C. Trondheim
    Trondheim is a historic Norwegian city in Trøndelag county, known for its medieval Nidaros Cathedral and role as a former capital of Norway.
  • D. Bergen
    Bergen is a city in western Germany, historically notable as the site of the 1759 Battle of Bergen during the Seven Years' War.
  • E. Bergen
    Bergen is Norway's second-largest city, renowned for its historic harbor, surrounding mountains and fjords, and role as a former Hanseatic trading hub.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: wasMainAirportFor
Context triple: [Oslo Airport, Fornebu, wasMainAirportFor, Oslo]
  • A. replacedAsMainAirportFor
    Indicates that one airport has taken over the role of being the primary or main airport serving a particular area from another airport.
  • B. hasPrimaryAirportRole
    Indicates that an entity holds the main or principal functional role associated with an airport.
  • C. isMajorRegionalAirportFor
    Indicates that an airport serves as a primary or significant air travel hub for a particular region.
  • D. hasMajorAirport chosen
    Indicates that a location possesses at least one significant airport that serves as a primary hub for air travel in that area.
  • E. isMainAirportStopFor
    Indicates that a given airport serves as the primary or principal stop for a specified route, service, or transportation connection.
  • F. None of above.

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_69e0b5006e2881909fc2383f841740cc completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc24a6dc8190a6bf81cf1d9590c0 completed April 21, 2026, 4:25 a.m.
PD Predicate disambiguation batch_69e5dbec80708190a49bccab7ff97e7b completed April 20, 2026, 7:55 a.m.
Created at: April 16, 2026, 1:52 p.m.