Triple

T15750988
Position Surface form Disambiguated ID Type / Status
Subject Porsáŋgguvuotna E381842 entity
Predicate hasNearbySettlement P4647 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: [Porsáŋgguvuotna, hasNearbySettlement, Lakselv]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lakselv
Context triple: [Porsáŋgguvuotna, hasNearbySettlement, 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. Vennesla
    Vennesla is a municipality in Agder county in southern Norway, known for its industrial heritage and scenic river valley setting.
  • C. 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.
  • D. Lakselva
    Lakselva is a river in northern Norway known for its rich salmon fishing and scenic Arctic landscapes.
  • E. Risløkka
    Risløkka is a residential neighborhood in Oslo, Norway, known for its mix of housing, local services, and proximity to major transport routes.
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e05030e31081908c307a8dc7067db4 completed April 16, 2026, 2:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffb03539c081908b5df46bb810b949 completed May 9, 2026, 10:07 p.m.
Created at: April 10, 2026, 4:47 a.m.