Triple

T19447205
Position Surface form Disambiguated ID Type / Status
Subject Snåsa E486509 entity
Predicate administrativeCenter P1474 FINISHED
Object Snåsa village NE NERFINISHED

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: Snåsa village | Statement: [Snåsa, administrativeCenter, Snåsa village]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Snåsa village
Context triple: [Snåsa, administrativeCenter, Snåsa village]
  • A. Snåsa village chosen
    Snåsa village is the administrative and commercial center of Snåsa municipality in Trøndelag county, Norway.
  • B. Jostedal village
    Jostedal village is a small rural settlement in western Norway known as a gateway to the Jostedalsbreen glacier and surrounding national park.
  • C. Dovre village
    Dovre village is a small settlement in Innlandet county, Norway, known as a local center in the mountainous Gudbrandsdalen region.
  • D. Kautokeino village
    Kautokeino village is a remote settlement in northern Norway known as a cultural center of the Sámi people and the main hub of local reindeer herding and traditional handicrafts.
  • E. Trysil village
    Trysil village is a small settlement in eastern Norway known as the administrative center of Trysil municipality and a gateway to the surrounding forested and river landscapes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d7ad488190a3373045029b0f3b completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6338b25d88190bc137a411576c73f completed April 20, 2026, 2:09 p.m.
Created at: April 10, 2026, 1:38 p.m.