Triple

T17370335
Position Surface form Disambiguated ID Type / Status
Subject Telemark springar E422292 entity
Predicate regionOfOrigin P410 FINISHED
Object Telemark 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: Telemark | Statement: [Telemark springar, regionOfOrigin, Telemark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Telemark
Context triple: [Telemark springar, regionOfOrigin, Telemark]
  • A. Telemark chosen
    Telemark is a historic region and former county in southeastern Norway known for its traditional folk culture, distinctive skiing heritage, and varied landscapes of mountains, forests, and coast.
  • B. Sälen
    Sälen is a Swedish mountain village and popular ski resort area in Dalarna, best known as the traditional starting point of the annual Vasaloppet cross-country ski race.
  • C. Kvalheim
    Kvalheim is a small coastal village in the former Vågsøy municipality in western Norway, known for its scenic North Sea surroundings and traditional fishing community.
  • D. Trysil
    Trysil is a Norwegian municipality renowned for its large alpine ski resort and extensive outdoor recreation opportunities.
  • E. Snåsa
    Snåsa is a rural municipality in Trøndelag county, Norway, known for its large lakes, forests, and strong South Sámi cultural heritage.
  • 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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a68ff448190b505861e56df5b6d completed April 19, 2026, 2:14 a.m.
Created at: April 10, 2026, 5:44 a.m.