Triple

T3543875
Position Surface form Disambiguated ID Type / Status
Subject Kven E74948 entity
Predicate regulatingBody P86 FINISHED
Object Kainun institutti – Kvensk institutt E357076 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: Kainun institutti – Kvensk institutt | Statement: [Kven, regulatingBody, Kainun institutti – Kvensk institutt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kainun institutti – Kvensk institutt
Context triple: [Kven, regulatingBody, Kainun institutti – Kvensk institutt]
  • A. Kainun institutti chosen
    Kainun institutti is a cultural and research institution in Norway dedicated to preserving and promoting the Kven language and heritage.
  • B. Kven Institute
    The Kven Institute is an official body responsible for preserving, standardizing, and promoting the Kven language and culture.
  • C. Kainuu
    Kainuu is a sparsely populated region in eastern Finland known for its forests, lakes, and traditional Finnish rural culture.
  • D. Manne Siegbahn Institute
    The Manne Siegbahn Institute is a Swedish research institute in Stockholm renowned for its pioneering work in experimental physics and nuclear science.
  • E. Kjeller campus
    Kjeller campus is one of Oslo Metropolitan University’s main sites, located in Kjeller and hosting various academic programs and research activities.
  • 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_69ad85d274cc8190ab59c97298a1cfbf completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbf76c5b08190b898d31b80a3a350 completed March 8, 2026, 6:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38bdd0cb4819086119b54c2708850 completed March 13, 2026, 4 a.m.
Created at: March 8, 2026, 3:20 p.m.