Triple

T20980708
Position Surface form Disambiguated ID Type / Status
Subject ARE E516751 entity
Predicate stationCodeFor P1289 FINISHED
Object Arendal 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: Arendal Station | Statement: [ARE, stationCodeFor, Arendal Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arendal Station
Context triple: [ARE, stationCodeFor, Arendal Station]
  • A. Arendal Station chosen
    Arendal Station is the main railway station serving the coastal town of Arendal in Agder county, Norway.
  • B. Rødberg Station
    Rødberg Station is a former railway station in Rødberg, Norway, known for serving as the end point of the historic Numedal Line.
  • C. Kongsberg Station
    Kongsberg Station is a railway station in Kongsberg, Norway, serving as a regional transport hub on the Sørlandet Line.
  • D. Stabekk Station
    Stabekk Station is a railway station in Bærum, Norway, serving the Stabekk area on the Drammen Line of the Norwegian rail network.
  • E. Årnes Station
    Årnes Station is a railway station serving the village of Årnes in Nes municipality in Akershus, Norway, providing regional rail connections to the surrounding area.
  • 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_69e0b4ffac148190bbade9f0eceb660b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fbdd89f48190b58c67cc1f7968c0 completed April 21, 2026, 4:23 a.m.
Created at: April 16, 2026, 1:47 p.m.