Triple

T5744657
Position Surface form Disambiguated ID Type / Status
Subject Sjusjøen E126700 entity
Predicate locatedInRegion P40 FINISHED
Object Gudbrandsdalen E105262 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: Gudbrandsdalen | Statement: [Sjusjøen, locatedInRegion, Gudbrandsdalen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gudbrandsdalen
Context triple: [Sjusjøen, locatedInRegion, Gudbrandsdalen]
  • A. Gudbrandsdalen chosen
    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. Brumunddal
    Brumunddal is a town in Ringsaker Municipality in Innlandet county, Norway, known as an administrative and commercial center on the eastern shore of Lake Mjøsa.
  • C. Hallingdal
    Hallingdal is a major valley and traditional district in southeastern Norway, known for its river, ski resorts, and rich folk culture.
  • D. 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.
  • E. Gudbrandsdalslågen
    Gudbrandsdalslågen is a major river in eastern Norway that flows through the Gudbrandsdal valley and ultimately joins Lake Mjøsa.
  • 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_69c0083179548190b384b0bf3c08ca4d completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c025883b608190b21523da2afde218 completed March 22, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e27ba848190b0c289a804b865cd completed March 22, 2026, 11:41 p.m.
Created at: March 22, 2026, 3:48 p.m.