Triple

T23080701
Position Surface form Disambiguated ID Type / Status
Subject Bøler E575460 entity
Predicate hasPublicTransport P1288 FINISHED
Object Bøler 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: Bøler station | Statement: [Bøler, hasPublicTransport, Bøler station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bøler station
Context triple: [Bøler, hasPublicTransport, Bøler station]
  • A. Bøler station chosen
    Bøler station is a metro station on the Oslo Metro’s Østensjø Line serving the Bøler neighborhood in Oslo, Norway.
  • B. Bø Station
    Bø Station is a railway station serving the village of Bø in Midt-Telemark, Norway, providing regional rail connections for the surrounding area.
  • C. Bålsta Station
    Bålsta Station is a key regional rail hub in Bålsta, Sweden, serving as the northwestern terminus for Stockholm’s commuter rail network and connecting local and long-distance services.
  • D. Brevik station
    Brevik station is a tram stop on Stockholm’s Lidingöbanan light rail line serving the Brevik area on Lidingö island.
  • E. 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.
  • 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_69e245be28d48190ad1348d5a73db37d completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18c67e06881908d24d6267bb49553 completed April 29, 2026, 4:43 a.m.
Created at: April 17, 2026, 3:56 p.m.