Triple

T4365566
Position Surface form Disambiguated ID Type / Status
Subject Oppland E98763 entity
Predicate containsPart P35 FINISHED
Object Vågå
Vågå is a rural municipality in Innlandet county, Norway, known for its traditional farming landscape, historic stave church, and proximity to the Jotunheimen mountain area.
E440442 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: Vågå | Statement: [Oppland, containsPart, Vågå]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vågå
Context triple: [Oppland, containsPart, Vågå]
  • A. Risberg
    Risberg is a Swedish surname borne by various notable individuals, including athletes and public figures.
  • B. Verdal
    Verdal is a municipality in central Norway known for its agricultural landscape, industrial activity, and the historic battlefield of Stiklestad.
  • C. Gaustad
    Gaustad is a district in Oslo, Norway, known for hosting major academic and research institutions, including parts of the University of Oslo campus.
  • D. Ørsta
    Ørsta is a municipality in Møre og Romsdal county, Norway, known for its dramatic fjord and mountain landscapes and as a center for outdoor activities like hiking and skiing.
  • E. Ullensvang
    Ullensvang is a scenic municipality in Vestland county, Norway, known for its fruit orchards, fjord landscapes, and location along the Hardangerfjord.
  • 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: Vågå
Triple: [Oppland, containsPart, Vågå]
Generated description
Vågå is a rural municipality in Innlandet county, Norway, known for its traditional farming landscape, historic stave church, and proximity to the Jotunheimen mountain area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vågå
Target entity description: Vågå is a rural municipality in Innlandet county, Norway, known for its traditional farming landscape, historic stave church, and proximity to the Jotunheimen mountain area.
  • A. Risberg
    Risberg is a Swedish surname borne by various notable individuals, including athletes and public figures.
  • B. Verdal
    Verdal is a municipality in central Norway known for its agricultural landscape, industrial activity, and the historic battlefield of Stiklestad.
  • C. Gaustad
    Gaustad is a district in Oslo, Norway, known for hosting major academic and research institutions, including parts of the University of Oslo campus.
  • D. Ørsta
    Ørsta is a municipality in Møre og Romsdal county, Norway, known for its dramatic fjord and mountain landscapes and as a center for outdoor activities like hiking and skiing.
  • E. Ullensvang
    Ullensvang is a scenic municipality in Vestland county, Norway, known for its fruit orchards, fjord landscapes, and location along the Hardangerfjord.
  • 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_69b3454c772081908e20173e379e8ebe completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35200263081909bb326a4d7a8db99 completed March 12, 2026, 11:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b61352f8308190af30daeaae0bf0d6 completed March 15, 2026, 2:02 a.m.
NEDg Description generation batch_69b613f0d5dc8190a48e60c63ea9d717 completed March 15, 2026, 2:05 a.m.
NED2 Entity disambiguation (via description) batch_69b617f70f608190bce1043c2254c9e5 completed March 15, 2026, 2:22 a.m.
Created at: March 12, 2026, 11:17 p.m.