Triple

T6196063
Position Surface form Disambiguated ID Type / Status
Subject Østensjø E138510 entity
Predicate hasPublicTransport P1288 FINISHED
Object Skøyenåsen station E615853 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: Skøyenåsen station | Statement: [Østensjø, hasPublicTransport, Skøyenåsen station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skøyenåsen station
Context triple: [Østensjø, hasPublicTransport, Skøyenåsen station]
  • A. Sognsvann station
    Sognsvann station is a metro station on the Oslo Metro network in Norway, serving as the terminus of the Sognsvann Line near the Sognsvann lake recreational area.
  • B. Tøyen station
    Tøyen station is an Oslo Metro station in the Tøyen neighborhood of Oslo, Norway, serving as a stop on the system’s Ring Line.
  • C. Ulsrud station chosen
    Ulsrud station is a metro station on the Oslo Metro network in Norway, serving the residential area of Ulsrud in the Østensjø borough.
  • D. Verdal Station
    Verdal Station is a railway station in the town of Verdal in Trøndelag county, Norway, serving as a stop on the Nordland Line.
  • E. Gjøvik Station
    Gjøvik Station is a railway station in the town of Gjøvik, Norway, serving as the terminus for regional passenger services on 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_69c008ab9b3081908a11b2c744838435 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0624571508190bd273b4a051fbe41 completed March 22, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71a5979208190b3bedb6234181245 completed March 28, 2026, 12:01 a.m.
Created at: March 22, 2026, 4:20 p.m.