Triple

T21840963
Position Surface form Disambiguated ID Type / Status
Subject Voksenkollen E539250 entity
Predicate hasPublicTransportConnection P3791 FINISHED
Object Voksenkollen 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: Voksenkollen station | Statement: [Voksenkollen, hasPublicTransportConnection, Voksenkollen station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Voksenkollen station
Context triple: [Voksenkollen, hasPublicTransportConnection, Voksenkollen station]
  • A. Voksenkollen station chosen
    Voksenkollen station is an Oslo Metro stop in the hilly, forested area above the city, serving as a gateway to nearby recreational and skiing areas.
  • B. Sörnäinen station
    Sörnäinen station is an underground metro station in Helsinki, Finland, serving the densely populated Sörnäinen and Kallio districts on the city’s metro network.
  • C. Siilitie station
    Siilitie station is a metro station in Helsinki, Finland, serving the city’s M1 line.
  • D. Vallentuna station
    Vallentuna station is a commuter rail stop on Stockholm’s Roslagsbanan narrow-gauge railway serving the locality of Vallentuna in Sweden.
  • E. Matinkylä station
    Matinkylä station is a metro station in the Espoo district of Matinkylä that serves as a key western endpoint of the Helsinki Metro system.
  • 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_69e0c476c3c88190a92d08ebb59a128a completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0a7ab71e081908e3d3293743e6409 completed April 28, 2026, 12:27 p.m.
Created at: April 16, 2026, 6:55 p.m.