Triple

T22765351
Position Surface form Disambiguated ID Type / Status
Subject Lambertseter E563108 entity
Predicate hasPublicTransport P1288 FINISHED
Object Lambertseter metro 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: Lambertseter metro station | Statement: [Lambertseter, hasPublicTransport, Lambertseter metro station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lambertseter metro station
Context triple: [Lambertseter, hasPublicTransport, Lambertseter metro station]
  • A. Lambertseter station chosen
    Lambertseter station is a metro station on the Oslo Metro system in Norway, serving the Lambertseter neighborhood.
  • B. Mortensrud metro station
    Mortensrud metro station is a terminal station on Oslo's Metro system serving the Mortensrud neighborhood in the Søndre Nordstrand borough.
  • C. Nydalen metro station
    Nydalen metro station is an Oslo Metro station serving the Nydalen area in the Nordre Aker borough of Oslo, Norway.
  • D. Sognsvann metro station
    Sognsvann metro station is an Oslo Metro station on the Sognsvann Line, serving as the terminus near the Sognsvann lake and surrounding recreational and residential areas.
  • E. Sinsen metro station
    Sinsen metro station is an Oslo Metro station serving the Sinsen area in the northern part of Oslo, Norway.
  • 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_69e24552e11c81909c2d61578a558bd7 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17a80249c819091569e7b8d500b45 completed April 29, 2026, 3:26 a.m.
Created at: April 17, 2026, 3:26 p.m.