Triple

T22330000
Position Surface form Disambiguated ID Type / Status
Subject Lambertseter Line E551997 entity
Predicate hasStation P35 FINISHED
Object Grønland 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: Grønland station | Statement: [Lambertseter Line, hasStation, Grønland station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grønland station
Context triple: [Lambertseter Line, hasStation, Grønland station]
  • A. Gilleleje Station
    Gilleleje Station is a railway station in the coastal town of Gilleleje in North Zealand, Denmark, serving as a key local transport hub on regional rail services.
  • B. Grenaa station
    Grenaa station is a railway station in the town of Grenaa, Denmark, serving as a terminus and regional transport hub on the Djursland peninsula.
  • C. Tisvildeleje Station
    Tisvildeleje Station is a coastal railway station in northern Zealand, Denmark, serving as the endpoint of local train services to the seaside resort town of Tisvildeleje.
  • D. Spydeberg Station
    Spydeberg Station is a local railway stop in the village of Spydeberg in Østfold, Norway, serving regional passenger traffic on the Østfold Line.
  • E. Grønland metro station chosen
    Grønland metro station is an Oslo Metro station in central Oslo, Norway, serving the Grønland neighborhood as part of the city’s rapid transit network.
  • 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_69e11e482f788190b78d1588fc26d606 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1577a9c348190b8662142afa832be completed April 29, 2026, 12:57 a.m.
Created at: April 16, 2026, 8:43 p.m.