Triple

T15694184
Position Surface form Disambiguated ID Type / Status
Subject Drag E380412 entity
Predicate locatedNear P294 FINISHED
Object Kjøpsvik E378097 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: Kjøpsvik | Statement: [Drag, locatedNear, Kjøpsvik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kjøpsvik
Context triple: [Drag, locatedNear, Kjøpsvik]
  • A. Kjøpsvik chosen
    Kjøpsvik is a small village in Nordland county, Norway, situated along the Tysfjorden and known as a local industrial and ferry hub in the region.
  • B. Røyrvik
    Røyrvik is a small rural municipality in Trøndelag county, Norway, known for its mountainous landscapes, reindeer herding traditions, and proximity to Børgefjell National Park.
  • C. Kleppstad
    Kleppstad is a small coastal village in northern Norway, situated on the island of Austvågøy in the Lofoten archipelago.
  • D. Sæbøvik
    Sæbøvik is a small village in western Norway located within the municipality of Kvinnherad in Vestland county.
  • E. Røykenvik
    Røykenvik is a small village and former railway terminus located by Randsfjorden in Gran municipality in Innlandet county, Norway.
  • 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_69d86d99e860819094b6957cde470f2c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f50ce848190a839c4fb7306d793 completed April 16, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbbd605c8190ae2b1289ae9570c3 completed May 10, 2026, 1:13 a.m.
Created at: April 10, 2026, 4:44 a.m.