Triple

T13418142
Position Surface form Disambiguated ID Type / Status
Subject European route E10 E313266 entity
Predicate passesThrough P225 FINISHED
Object Bjerkvik E562860 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: Bjerkvik | Statement: [European route E10, passesThrough, Bjerkvik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bjerkvik
Context triple: [European route E10, passesThrough, Bjerkvik]
  • A. Bjerkvik chosen
    Bjerkvik is a small village in Narvik Municipality in Nordland county, northern Norway, situated at the head of the Herjangsfjord.
  • B. Sørvågen
    Sørvågen is a small fishing village and tourist destination located on the island of Moskenesøya in Norway’s Lofoten archipelago.
  • C. Håkvik
    Håkvik is a small settlement in northern Norway, located within Narvik Municipality in Nordland county.
  • D. Honningsvåg
    Honningsvåg is a small Arctic port town in northern Norway, often used as a gateway to the North Cape and a popular stop for cruise and coastal voyages.
  • E. Gressvik
    Gressvik is a village in Fredrikstad Municipality in Viken county, Norway, located on the western side of the Glomma River.
  • 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_69d806ad0c44819088833ae1ec9e9690 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaeb8416c8190a00dde0917c26f51 completed April 12, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7ce06488190b18e48dfba240024 completed May 7, 2026, 8:36 p.m.
Created at: April 9, 2026, 9:39 p.m.