Triple

T20707625
Position Surface form Disambiguated ID Type / Status
Subject Dovrebanen E508945 entity
Predicate hasStation P35 FINISHED
Object Lillehammer 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: Lillehammer Station | Statement: [Dovrebanen, hasStation, Lillehammer Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lillehammer Station
Context triple: [Dovrebanen, hasStation, Lillehammer Station]
  • A. Lillehammer railway station chosen
    Lillehammer railway station is a key rail hub in Lillehammer, Norway, serving regional and long-distance passenger trains and connecting with local bus services.
  • 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. Bjorli Station
    Bjorli Station is a railway station in the village of Bjorli in Lesja, Norway, serving as a stop on the Rauma Line through the Romsdalen valley.
  • D. 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.
  • E. Mjøndalen Station
    Mjøndalen Station is a railway station in the village of Mjøndalen in Norway, serving as a local stop on the national rail 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_69e0b4c40ad88190b81f77695366d328 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c1952e888190877b79933970f7b0 completed April 21, 2026, 12:15 a.m.
Created at: April 16, 2026, 12:14 p.m.