Triple

T21047777
Position Surface form Disambiguated ID Type / Status
Subject Holmenkollen Chapel E518492 entity
Predicate isAccessibleFrom P1985 FINISHED
Object Holmenkollen 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: Holmenkollen metro station | Statement: [Holmenkollen Chapel, isAccessibleFrom, Holmenkollen metro station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Holmenkollen metro station
Context triple: [Holmenkollen Chapel, isAccessibleFrom, Holmenkollen metro station]
  • A. Holmenkollen station chosen
    Holmenkollen station is a metro stop in Oslo, Norway, serving the hillside area near the famous Holmenkollen ski jump and recreational trails.
  • 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. Bekkestua metro station
    Bekkestua metro station is a station on the Oslo Metro network serving the suburban area of Bekkestua in Bærum, Norway.
  • D. Kolsås station
    Kolsås station is a metro terminus on the Kolsås Line of the Oslo Metro system in Bærum, Norway.
  • E. Mortensrud metro station
    Mortensrud metro station is a terminal station on Oslo's Metro system serving the Mortensrud neighborhood in the Søndre Nordstrand borough.
  • 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_69e0b50438e08190917e2538bb8bc034 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fcf5b01481909db49aa5be3846aa completed April 21, 2026, 4:28 a.m.
Created at: April 16, 2026, 2:34 p.m.