Triple

T4657884
Position Surface form Disambiguated ID Type / Status
Subject Numedalslågen E102452 entity
Predicate hasValley P650 FINISHED
Object Numedal valley E109143 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: Numedal valley | Statement: [Numedalslågen, hasValley, Numedal valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Numedal valley
Context triple: [Numedalslågen, hasValley, Numedal valley]
  • A. Gudbrandsdalen
    Gudbrandsdalen is a major valley in Norway known for its dramatic landscapes, traditional farming culture, and historic role as a key inland travel route.
  • B. Numedal chosen
    Numedal is a valley in southeastern Norway known for its traditional wooden architecture, medieval stave churches, and scenic river landscape.
  • C. Numedalslågen
    Numedalslågen is one of Norway’s longest rivers, flowing from the Hardangervidda plateau through the Numedal valley to the Larvik fjord in Eastern Norway.
  • D. Hallingdal
    Hallingdal is a major valley and traditional district in southeastern Norway, known for its river, ski resorts, and rich folk culture.
  • E. Lærdal
    Lærdal is a municipality in Vestland county, Norway, known for its dramatic fjord landscapes, historic wooden architecture, and the UNESCO-listed Nærøyfjord area nearby.
  • 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_69bd43d823288190952279faa0d1d066 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd631a855c81909773737fd238a14d completed March 20, 2026, 3:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4d739e9c8190b7fffe68a3b54de5 completed March 21, 2026, 7:49 a.m.
Created at: March 20, 2026, 1:15 p.m.