Triple

T3701763
Position Surface form Disambiguated ID Type / Status
Subject Troms E80793 entity
Predicate containsTown P847 FINISHED
Object Olderdalen
Olderdalen is a small coastal village in northern Norway that serves as the administrative center of Kåfjord Municipality in Troms og Finnmark county.
 E383470 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: Olderdalen | Statement: [Troms, containsTown, Olderdalen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Olderdalen
Context triple: [Troms, containsTown, Olderdalen]
  • A. Oldedalen
    Oldedalen is a scenic glacial valley in western Norway, known for its dramatic mountains, lakes, and access to nearby glaciers.
  • 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. Glåmdalen
    Glåmdalen is a valley region in Eastern Norway known for the Glomma River and its surrounding agricultural and forested landscapes.
  • D. 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.
  • E. Gausdal
    Gausdal is a rural municipality in southeastern Norway known for its agricultural landscape, forests, and outdoor recreational opportunities.
  • 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: Olderdalen
Triple: [Troms, containsTown, Olderdalen]
Generated description
Olderdalen is a small coastal village in northern Norway that serves as the administrative center of Kåfjord Municipality in Troms og Finnmark county.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Olderdalen
Target entity description: Olderdalen is a small coastal village in northern Norway that serves as the administrative center of Kåfjord Municipality in Troms og Finnmark county.
  • A. Oldedalen
    Oldedalen is a scenic glacial valley in western Norway, known for its dramatic mountains, lakes, and access to nearby glaciers.
  • 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. Glåmdalen
    Glåmdalen is a valley region in Eastern Norway known for the Glomma River and its surrounding agricultural and forested landscapes.
  • D. 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.
  • E. Gausdal
    Gausdal is a rural municipality in southeastern Norway known for its agricultural landscape, forests, and outdoor recreational opportunities.
  • 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_69ad8b1793888190a5f70e4b21dc05a1 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adc547c1848190a1ece46c59b7c43d completed March 8, 2026, 6:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4db041370819084b04e46d95ca966 completed March 14, 2026, 3:50 a.m.
NEDg Description generation batch_69b4dbbc23f08190a03ef4e4197398a4 completed March 14, 2026, 3:53 a.m.
NED2 Entity disambiguation (via description) batch_69b4dcac6fdc81908998415ffe1aabaa completed March 14, 2026, 3:57 a.m.
Created at: March 8, 2026, 3:33 p.m.