Triple

T16811943
Position Surface form Disambiguated ID Type / Status
Subject Østre Toten E408635 entity
Predicate borders P224 FINISHED
Object Vestre Toten E408636 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: Vestre Toten | Statement: [Østre Toten, borders, Vestre Toten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vestre Toten
Context triple: [Østre Toten, borders, Vestre Toten]
  • A. Vestre Toten chosen
    Vestre Toten is a municipality in Innlandet county, Norway, known for its mix of rural landscapes, small towns, and industrial activity.
  • B. Hellvik
    Hellvik is a small settlement in Nesodden municipality in Viken county, Norway, known for its coastal location along the Oslofjord.
  • C. Hellvik
    Hellvik is a small coastal village in southwestern Norway, located within Eigersund municipality in Rogaland county.
  • D. Mortsund
    Mortsund is a small fishing village located on the island of Vestvågøy in Norway’s Lofoten archipelago.
  • E. Dølen
    Dølen was a 19th-century Norwegian weekly periodical, written in Landsmål by Aasmund Olavsson Vinje, that combined literary works with social and political commentary.
  • 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_69d88393905081908d00a86b99996ac8 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b2d0793c81909d938ac174a6e63a completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b292a5888190812539b14eb77f34 completed May 10, 2026, 4:30 p.m.
Created at: April 10, 2026, 5:23 a.m.