Triple

T19619147
Position Surface form Disambiguated ID Type / Status
Subject Raufoss E470951 entity
Predicate hasRailwayStation P918 FINISHED
Object Raufoss 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: Raufoss Station | Statement: [Raufoss, hasRailwayStation, Raufoss Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raufoss Station
Context triple: [Raufoss, hasRailwayStation, Raufoss Station]
  • A. Raufoss Station chosen
    Raufoss Station is a railway station serving the village of Raufoss in Vestre Toten, Innlandet county, Norway.
  • B. Verdal Station
    Verdal Station is a railway station in the town of Verdal in Trøndelag county, Norway, serving as a stop on the Nordland Line.
  • C. Steinkjer Station
    Steinkjer Station is a railway station in the town of Steinkjer in Trøndelag county, Norway, serving as a regional transport hub on the Nordland Line.
  • D. Vikersund Station
    Vikersund Station is a railway station in Vikersund, Norway, serving as a stop on the Randsfjord Line and providing regional passenger rail connections.
  • E. Rygge Station
    Rygge Station is a railway station in Rygge, Norway, serving as a local and regional transport hub on the Østfold Line.
  • 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_69d8e510fa248190b7afb274a1d4cf73 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e640e4570c81909fc4f9b871346337 completed April 20, 2026, 3:06 p.m.
Created at: April 10, 2026, 1:43 p.m.