Triple

T10428436
Position Surface form Disambiguated ID Type / Status
Subject Nes (Akershus) E245844 entity
Predicate railwayLine P848 FINISHED
Object Kongsvinger Line E134026 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: Kongsvinger Line | Statement: [Nes (Akershus), railwayLine, Kongsvinger Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kongsvinger Line
Context triple: [Nes (Akershus), railwayLine, Kongsvinger Line]
  • A. Kongsvinger Line chosen
    The Kongsvinger Line is a Norwegian railway route running east from Oslo toward the Swedish border, serving both passenger and freight traffic.
  • B. Arendal Line
    The Arendal Line is a Norwegian railway route that connects the coastal town of Arendal to the national rail network.
  • C. Jæren Line
    The Jæren Line is a Norwegian railway route along the southwestern coast, primarily serving the Stavanger region with local and regional passenger traffic.
  • D. Sørlandet Line
    The Sørlandet Line is a major Norwegian railway route connecting Oslo with the southern coastal region, including cities such as Kristiansand and Stavanger.
  • E. Gjøvik Line
    The Gjøvik Line is a Norwegian railway route connecting Oslo with the town of Gjøvik through the inland districts north of the capital.
  • 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_69d381bf3dc08190bf35a2643e4e8f22 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea4a7dcc81909a830e08656a1c0c completed April 7, 2026, 11:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69d89f8a5b00819080c303bb0fc82f5a completed April 10, 2026, 6:58 a.m.
Created at: April 6, 2026, 12:13 p.m.