Triple

T3556541
Position Surface form Disambiguated ID Type / Status
Subject Nordfjord E75232 entity
Predicate hasValley P650 FINISHED
Object Oldedalen
Oldedalen is a scenic glacial valley in western Norway, known for its dramatic mountains, lakes, and access to nearby glaciers.
E366560 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: Oldedalen | Statement: [Nordfjord, hasValley, Oldedalen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oldedalen
Context triple: [Nordfjord, hasValley, Oldedalen]
  • A. Glåmdalen
    Glåmdalen is a valley region in Eastern Norway known for the Glomma River and its surrounding agricultural and forested landscapes.
  • B. Gauldalen
    Gauldalen is a river valley and traditional district in central Norway known for its agricultural landscape and the Gaula River running through it.
  • C. Orkdalen
    Orkdalen is a valley and traditional district in central Norway known for the Orkla River and its agricultural landscapes within Trøndelag county.
  • D. Østerdalen
    Østerdalen is a large, sparsely populated valley region in Innlandet county, Norway, known for its forests, rivers, and traditional rural culture.
  • E. Mortensrud
    Mortensrud is a residential neighborhood in the Søndre Nordstrand borough of Oslo, Norway, known for its multicultural population and modern church, and served as the terminus of an Oslo Metro line.
  • 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: Oldedalen
Triple: [Nordfjord, hasValley, Oldedalen]
Generated description
Oldedalen is a scenic glacial valley in western Norway, known for its dramatic mountains, lakes, and access to nearby glaciers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Oldedalen
Target entity description: Oldedalen is a scenic glacial valley in western Norway, known for its dramatic mountains, lakes, and access to nearby glaciers.
  • A. Glåmdalen
    Glåmdalen is a valley region in Eastern Norway known for the Glomma River and its surrounding agricultural and forested landscapes.
  • B. Gauldalen
    Gauldalen is a river valley and traditional district in central Norway known for its agricultural landscape and the Gaula River running through it.
  • C. Orkdalen
    Orkdalen is a valley and traditional district in central Norway known for the Orkla River and its agricultural landscapes within Trøndelag county.
  • D. Østerdalen
    Østerdalen is a large, sparsely populated valley region in Innlandet county, Norway, known for its forests, rivers, and traditional rural culture.
  • E. Mortensrud
    Mortensrud is a residential neighborhood in the Søndre Nordstrand borough of Oslo, Norway, known for its multicultural population and modern church, and served as the terminus of an Oslo Metro line.
  • 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_69ad85d45090819086f34fb85d850a1e completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc057cc788190a6c4f3781f43abce completed March 8, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38bf40dac8190837053dd315303af completed March 13, 2026, 4 a.m.
NEDg Description generation batch_69b38c6e70a88190805de417a8740d64 completed March 13, 2026, 4:02 a.m.
NED2 Entity disambiguation (via description) batch_69b38cd2c540819083d3188c2dea7283 completed March 13, 2026, 4:04 a.m.
Created at: March 8, 2026, 3:20 p.m.