Triple

T13808412
Position Surface form Disambiguated ID Type / Status
Subject Skjåk municipality E331817 entity
Predicate hasDemonym P191 FINISHED
Object skjåkvær E433532 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: skjåkvær | Statement: [Skjåk municipality, hasDemonym, skjåkvær]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: skjåkvær
Context triple: [Skjåk municipality, hasDemonym, skjåkvær]
  • A. Skjåk chosen
    Skjåk is a rural municipality in Innlandet county, Norway, known for its mountainous landscapes, national parks, and dry inland climate.
  • B. Skjetten
    Skjetten is a suburban residential area in Lillestrøm municipality in Viken county, Norway, located northeast of Oslo.
  • C. .sk
    .sk is the country code top-level domain (ccTLD) assigned to Slovakia for use in internet addresses.
  • D. Kvikkjokk
    Kvikkjokk is a small mountain village in northern Sweden that serves as a popular gateway for hikers and nature enthusiasts exploring Sarek National Park and the surrounding Lapland wilderness.
  • E. skene
    The skene was a structure at the back of the ancient Greek theater stage that served as both a backdrop for performances and a space for actors to change costumes and enter the scene.
  • 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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de026eae8481908b8880635e6a9152 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b08fbc348190a199c5d92e0e46be completed May 3, 2026, 8:31 p.m.
Created at: April 9, 2026, 10:12 p.m.