Triple

T5652423
Position Surface form Disambiguated ID Type / Status
Subject Ullensaker E124535 entity
Predicate hasRailwayStation P918 FINISHED
Object Oslo Airport Station E125807 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: Oslo Airport Station | Statement: [Ullensaker, hasRailwayStation, Oslo Airport Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oslo Airport Station
Context triple: [Ullensaker, hasRailwayStation, Oslo Airport Station]
  • A. Oslo Airport Station chosen
    Oslo Airport Station is the main railway station serving Oslo Airport, Gardermoen, providing high-speed and regional train connections between the airport and the rest of Norway.
  • B. Oslo Bus Terminal
    Oslo Bus Terminal is the main long-distance and regional bus hub in Oslo, Norway, connecting the city with domestic and international destinations.
  • C. Lysaker Station
    Lysaker Station is a major railway station in the Oslo metropolitan area of Norway, serving as an important commuter and regional transport hub.
  • D. Bergen Station
    Bergen Station is the main railway terminal in Bergen, Norway, serving as the western terminus of the Bergen Line and a key hub for regional and long-distance train services.
  • E. Oslo Central Station
    Oslo Central Station is Norway’s largest and busiest railway hub, serving as the main national and regional train terminal in the heart of Oslo.
  • 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_69c00825df388190a58742fa9b1aa33d completed March 22, 2026, 3:17 p.m.
NER Named-entity recognition batch_69c022d8a2588190b10de59edbc8841f completed March 22, 2026, 5:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d941ea4819084bab644d6cc2153 completed March 22, 2026, 8:14 p.m.
Created at: March 22, 2026, 3:42 p.m.