Triple

T21562499
Position Surface form Disambiguated ID Type / Status
Subject Blindern campus E532071 entity
Predicate publicTransportConnection P3791 FINISHED
Object Blindern 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: Blindern metro station | Statement: [Blindern campus, publicTransportConnection, Blindern metro station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blindern metro station
Context triple: [Blindern campus, publicTransportConnection, Blindern metro station]
  • A. Blindern station chosen
    Blindern station is a metro stop on Oslo’s T-bane network serving the Blindern area, home to the main campus of the University of Oslo.
  • B. Nydalen metro station
    Nydalen metro station is an Oslo Metro station serving the Nydalen area in the Nordre Aker borough of Oslo, Norway.
  • C. Sinsen metro station
    Sinsen metro station is an Oslo Metro station serving the Sinsen area in the northern part of Oslo, Norway.
  • D. Mortensrud metro station
    Mortensrud metro station is a terminal station on Oslo's Metro system serving the Mortensrud neighborhood in the Søndre Nordstrand borough.
  • E. Bekkestua metro station
    Bekkestua metro station is a station on the Oslo Metro network serving the suburban area of Bekkestua in Bærum, 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_69e0c460db088190828c64206a450273 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eed2e5c3348190b67003e7027efa60 completed April 27, 2026, 3:07 a.m.
Created at: April 16, 2026, 6:29 p.m.