Triple

T22329998
Position Surface form Disambiguated ID Type / Status
Subject Lambertseter Line E551997 entity
Predicate hasStation P35 FINISHED
Object Ensjø station NE NERFINISHED

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: Ensjø station | Statement: [Lambertseter Line, hasStation, Ensjø station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ensjø station
Context triple: [Lambertseter Line, hasStation, Ensjø station]
  • A. Ensjø station chosen
    Ensjø station is an Oslo Metro station in the Ensjø neighborhood of Oslo, Norway, serving as part of the city’s rapid transit network.
  • B. Fetsund Station
    Fetsund Station is a railway station in Fetsund, Norway, serving as a local stop on the Kongsvinger Line.
  • C. Støren Station
    Støren Station is a railway station in Trøndelag, Norway, serving as a junction where the Røros Line meets the Dovre Line and providing regional and long-distance train connections.
  • D. Brevik station
    Brevik station is a tram stop on Stockholm’s Lidingöbanan light rail line serving the Brevik area on Lidingö island.
  • E. Henriksdal station
    Henriksdal station is a commuter rail stop in the Stockholm area that serves passengers on the Saltsjöbanan line.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e482f788190b78d1588fc26d606 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1577a9c348190b8662142afa832be completed April 29, 2026, 12:57 a.m.
Created at: April 16, 2026, 8:43 p.m.