Triple

T14056828
Position Surface form Disambiguated ID Type / Status
Subject M3 E338239 entity
Predicate hasStation P35 FINISHED
Object Trianglen station E1081102 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: Trianglen station | Statement: [M3, hasStation, Trianglen station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trianglen station
Context triple: [M3, hasStation, Trianglen station]
  • A. Trianglen station chosen
    Trianglen station is an underground Copenhagen Metro station on the City Circle Line (M3) located near the Trianglen junction in the Østerbro district of Copenhagen, Denmark.
  • B. Linderud station
    Linderud station is an Oslo Metro stop in the Linderud neighborhood, providing urban rail access on the city's east side.
  • C. Strømmen Station
    Strømmen Station is a railway station serving the town of Strømmen in Viken county, Norway, on the Oslo commuter rail network.
  • D. Grefsen station
    Grefsen station is a railway station in Oslo, Norway, serving the Gjøvik Line and providing local and regional train connections for the Nordre Aker district.
  • E. Storo station
    Storo station is a major interchange stop in Oslo, Norway, connecting metro, tram, and bus services in the Storo/Nydalen area.
  • 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_69d81c67ba6c819091935650dfb3b895 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de3c8e6d008190af8892f34c5cefbd completed April 14, 2026, 1:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7da9414819094d81e5a6ac9fbf9 completed May 7, 2026, 8:36 p.m.
Created at: April 9, 2026, 10:20 p.m.