Triple

T7584145
Position Surface form Disambiguated ID Type / Status
Subject Narvik railway station E179563 entity
Predicate near P350 FINISHED
Object E6 highway E347764 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: E6 highway | Statement: [Narvik railway station, near, E6 highway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: E6 highway
Context triple: [Narvik railway station, near, E6 highway]
  • A. E6 highway chosen
    The E6 highway is a major north–south European route running through Norway and Sweden, serving as a key arterial road for long-distance travel and freight transport.
  • B. A8 highway
    The A8 highway is a major road in Latvia that connects the capital Riga with the city of Jelgava and continues toward the Lithuanian border.
  • C. A7 highway
    The A7 highway is a major Tanzanian road that connects key regions in the country and passes directly through Mikumi National Park, offering access to both local communities and wildlife tourism areas.
  • D. E42 motorway
    The E42 motorway is a major European route running across Belgium, connecting key cities and regions as part of the trans-European road network.
  • E. A4 highway
    The A4 highway is a major road route that connects with the A2 coastal highway, serving as an important link in the regional transportation network.
  • 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_69c69f327db881909a21ae3b156f8ded completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f993cd0c8190864f801074625a32 completed March 27, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69e215ac56248190a75ad5ceb8152d5a completed April 17, 2026, 11:12 a.m.
Created at: March 27, 2026, 3:52 p.m.