Triple

T9552155
Position Surface form Disambiguated ID Type / Status
Subject Lysaker bus terminal E230446 entity
Predicate adjacentTo P224 FINISHED
Object Lysaker Station E227160 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: Lysaker Station | Statement: [Lysaker bus terminal, adjacentTo, Lysaker Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lysaker Station
Context triple: [Lysaker bus terminal, adjacentTo, Lysaker Station]
  • A. Lysaker Station chosen
    Lysaker Station is a major railway station in the Oslo metropolitan area of Norway, serving as an important commuter and regional transport hub.
  • B. Skøyen Station
    Skøyen Station is a major railway and commuter hub in Oslo, Norway, serving regional and local trains as part of the city's western transport corridor.
  • C. Drammen Station
    Drammen Station is a major railway hub in Drammen, Norway, connecting regional and long-distance train services to Oslo and other parts of the country.
  • D. Røa station
    Røa station is a suburban rapid transit stop on the Oslo Metro serving the Røa neighborhood in western Oslo, Norway.
  • E. Kjelsås station
    Kjelsås station is a railway station in the Kjelsås neighborhood of Oslo, Norway, serving the Gjøvik Line.
  • 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_69ca847d3be8819099c9dad2a7e786f1 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd991f87e48190b5a5f4b3dfe7c1dd completed April 1, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69d15286f7c881909258b9f06a81e464 completed April 4, 2026, 6:03 p.m.
Created at: March 30, 2026, 8:02 p.m.