Triple

T3882384
Position Surface form Disambiguated ID Type / Status
Subject European route E6 E92854 entity
Predicate passesThrough P225 FINISHED
Object Lakselv E385284 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: Lakselv | Statement: [European route E6, passesThrough, Lakselv]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lakselv
Context triple: [European route E6, passesThrough, Lakselv]
  • A. Lakselv chosen
    Lakselv is a small town in northern Norway that serves as an administrative and transport hub in Finnmark, near the Porsangerfjorden and close to the North Cape region.
  • B. Lærdal
    Lærdal is a municipality in Vestland county, Norway, known for its dramatic fjord landscapes, historic wooden architecture, and the UNESCO-listed Nærøyfjord area nearby.
  • C. Lakselva
    Lakselva is a river in northern Norway known for its rich salmon fishing and scenic Arctic landscapes.
  • D. Sørreisa
    Sørreisa is a small coastal municipality and village area in northern Norway known for its fjords and rural Arctic landscape.
  • E. Finnsnes
    Finnsnes is a small coastal town in northern Norway that serves as a commercial and transport hub for the island municipality of Senja.
  • 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_69aed9697de0819087c2559295ff3d12 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeec8e8b3481909617ca0e37f8a6d4 completed March 9, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b53fe99ccc8190849ffe819a4bfd8f completed March 14, 2026, 11 a.m.
Created at: March 9, 2026, 3:20 p.m.