Triple

T831369
Position Surface form Disambiguated ID Type / Status
Subject Trøndelag E17971 entity
Predicate hasSubregion P285 FINISHED
Object Gauldalen
Gauldalen is a river valley and traditional district in central Norway known for its agricultural landscape and the Gaula River running through it.
 E133888 NE FINISHED

How this triple was built (4 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: Gauldalen | Statement: [Trøndelag, hasSubregion, Gauldalen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gauldalen
Context triple: [Trøndelag, hasSubregion, Gauldalen]
  • A. Glåmdalen
    Glåmdalen is a valley region in Eastern Norway known for the Glomma River and its surrounding agricultural and forested landscapes.
  • B. Hallingdal
    Hallingdal is a major valley and traditional district in southeastern Norway, known for its river, ski resorts, and rich folk culture.
  • C. Østerdalen
    Østerdalen is a large, sparsely populated valley region in Innlandet county, Norway, known for its forests, rivers, and traditional rural culture.
  • D. 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.
  • E. Gaustad
    Gaustad is a district in Oslo, Norway, known for hosting major academic and research institutions, including parts of the University of Oslo campus.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Gauldalen
Triple: [Trøndelag, hasSubregion, Gauldalen]
Generated description
Gauldalen is a river valley and traditional district in central Norway known for its agricultural landscape and the Gaula River running through it.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gauldalen
Target entity description: Gauldalen is a river valley and traditional district in central Norway known for its agricultural landscape and the Gaula River running through it.
  • A. Glåmdalen
    Glåmdalen is a valley region in Eastern Norway known for the Glomma River and its surrounding agricultural and forested landscapes.
  • B. Hallingdal
    Hallingdal is a major valley and traditional district in southeastern Norway, known for its river, ski resorts, and rich folk culture.
  • C. Østerdalen
    Østerdalen is a large, sparsely populated valley region in Innlandet county, Norway, known for its forests, rivers, and traditional rural culture.
  • D. 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.
  • E. Gaustad
    Gaustad is a district in Oslo, Norway, known for hosting major academic and research institutions, including parts of the University of Oslo campus.
  • F. None of above. chosen

Provenance (5 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_69a4937c9c188190aaa216f6b466f452 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4abb4be948190ae757df85bdc40e4 completed March 1, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac660a86d881908ae96a5492c9b9a2 completed March 7, 2026, 5:53 p.m.
NEDg Description generation batch_69ac67e76c3881908643b5b861826610 completed March 7, 2026, 6:01 p.m.
NED2 Entity disambiguation (via description) batch_69ac684ea69c819098beb37929bdb47a completed March 7, 2026, 6:02 p.m.
Created at: March 1, 2026, 7:38 p.m.