Triple

T2321304
Position Surface form Disambiguated ID Type / Status
Subject Askim E51185 entity
Predicate railwayLine P848 FINISHED
Object Eastern Østfold Line E50820 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: Eastern Østfold Line | Statement: [Askim, railwayLine, Eastern Østfold Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eastern Østfold Line
Context triple: [Askim, railwayLine, Eastern Østfold Line]
  • A. Østfold Line chosen
    The Østfold Line is a major railway line in southeastern Norway that runs from Oslo through towns in the Østfold region toward the Swedish border.
  • B. Arendal Line
    The Arendal Line is a Norwegian railway route that connects the coastal town of Arendal to the national rail network.
  • C. Kongsvinger Line
    The Kongsvinger Line is a Norwegian railway route running east from Oslo toward the Swedish border, serving both passenger and freight traffic.
  • D. Drammen Line
    The Drammen Line is a major Norwegian railway route connecting Oslo with the city of Drammen and serving as an important commuter and intercity corridor in the Oslo region.
  • E. 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.
  • 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_69a88b074b908190ae983dbca7757d88 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc6337e948190bb4860f7045914e1 completed March 7, 2026, 6:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae896911908190b53954dbf854cc18 completed March 9, 2026, 8:48 a.m.
Created at: March 4, 2026, 7:49 p.m.