Triple

T18113350
Position Surface form Disambiguated ID Type / Status
Subject Lunner E433535 entity
Predicate hasRailwayStation P918 FINISHED
Object Lunner 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: Lunner Station | Statement: [Lunner, hasRailwayStation, Lunner Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lunner Station
Context triple: [Lunner, hasRailwayStation, Lunner Station]
  • A. Lunner Station chosen
    Lunner Station is a local railway station in Lunner, Norway, serving regional passenger traffic on the Gjøvik Line.
  • B. Korgen Station
    Korgen Station is a railway station serving the village of Korgen in the municipality of Hemnes in Nordland county, Norway.
  • C. Voss Station
    Voss Station is a railway station in the village of Voss in Vestland county, Norway, serving as a stop on the Bergen Line between Bergen and Oslo.
  • D. Holmlia Station
    Holmlia Station is a railway station in Oslo, Norway, serving the residential district of Holmlia and the surrounding Søndre Nordstrand area.
  • E. Stange Station
    Stange Station is a railway station serving the village of Stange in Innlandet county, Norway, providing regional and intercity train connections.
  • 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_69d8b90916008190a1f110bd7ced5473 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddd3fd9c81909bfe95927f7553e3 completed April 19, 2026, 1:51 p.m.
Created at: April 10, 2026, 10:28 a.m.