Triple

T16262655
Position Surface form Disambiguated ID Type / Status
Subject Lillestrøm E394791 entity
Predicate hasTransportFacility P2413 FINISHED
Object Lillestrøm Station E524328 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: Lillestrøm Station | Statement: [Lillestrøm, hasTransportFacility, Lillestrøm Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lillestrøm Station
Context triple: [Lillestrøm, hasTransportFacility, Lillestrøm Station]
  • A. Lillestrøm Station chosen
    Lillestrøm Station is a major railway hub in Lillestrøm, Norway, serving regional, intercity, and airport express trains in the Oslo area.
  • B. Lysaker Station
    Lysaker Station is a major railway station in the Oslo metropolitan area of Norway, serving as an important commuter and regional transport hub.
  • C. Hønefoss Station
    Hønefoss Station is a railway station in the town of Hønefoss in Ringerike, Norway, serving as a regional transport hub on key rail lines connecting eastern and western Norway.
  • D. Lønsdal Station
    Lønsdal Station is a railway station in Nordland county, Norway, serving the remote mountain area of Saltfjellet on the Nordland Line.
  • E. Drammen Station
    Drammen Station is a major railway hub in Drammen, Norway, connecting regional and long-distance train services to Oslo and other parts of the country.
  • 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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e245c5583c8190901e892238cf8dbd completed April 17, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017b5f3a8819083128cf2b90cfd84 completed May 10, 2026, 5:29 a.m.
Created at: April 10, 2026, 5:04 a.m.