Triple

T3626194
Position Surface form Disambiguated ID Type / Status
Subject Nærøyfjord E76844 entity
Predicate municipality P852 FINISHED
Object Aurland
Aurland is a scenic municipality in Vestland county, Norway, known for its dramatic fjord landscapes, including parts of the UNESCO-listed Nærøyfjord.
 E374347 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: Aurland | Statement: [Nærøyfjord, municipality, Aurland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Aurland
Context triple: [Nærøyfjord, municipality, Aurland]
  • A. Glaðsheimr
    Glaðsheimr is a hall or region in Norse mythology where the chief gods, including Odin, gather for council within the divine realm.
  • B. Lealholm
    Lealholm is a small rural village in North Yorkshire, England, known for its picturesque setting in the Esk Valley within the North York Moors National Park.
  • C. Dannevirke
    Dannevirke is a rural service town in New Zealand known for its Scandinavian heritage and farming-based economy.
  • D. Alfheim
    Alfheim is the luminous realm of the light elves in Norse mythology, often associated with beauty, fertility, and the god Freyr.
  • E. Hadeland
    Hadeland is a traditional rural district in southeastern Norway known for its agricultural landscape, historic churches, and the Hadeland Glassverk glassworks.
  • 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: Aurland
Triple: [Nærøyfjord, municipality, Aurland]
Generated description
Aurland is a scenic municipality in Vestland county, Norway, known for its dramatic fjord landscapes, including parts of the UNESCO-listed Nærøyfjord.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Aurland
Target entity description: Aurland is a scenic municipality in Vestland county, Norway, known for its dramatic fjord landscapes, including parts of the UNESCO-listed Nærøyfjord.
  • A. Glaðsheimr
    Glaðsheimr is a hall or region in Norse mythology where the chief gods, including Odin, gather for council within the divine realm.
  • B. Lealholm
    Lealholm is a small rural village in North Yorkshire, England, known for its picturesque setting in the Esk Valley within the North York Moors National Park.
  • C. Dannevirke
    Dannevirke is a rural service town in New Zealand known for its Scandinavian heritage and farming-based economy.
  • D. Alfheim
    Alfheim is the luminous realm of the light elves in Norse mythology, often associated with beauty, fertility, and the god Freyr.
  • E. Hadeland
    Hadeland is a traditional rural district in southeastern Norway known for its agricultural landscape, historic churches, and the Hadeland Glassverk glassworks.
  • 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_69ad85dc03948190b35b7189e4175bcc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc2dc011c8190a6596f4b483fb078 completed March 8, 2026, 6:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4332488d88190ac70846388b7ff13 completed March 13, 2026, 3:54 p.m.
NEDg Description generation batch_69b4378c5f3c81908b88def235abed9c completed March 13, 2026, 4:13 p.m.
NED2 Entity disambiguation (via description) batch_69b4382148c48190b75ee46182f4d817 completed March 13, 2026, 4:15 p.m.
Created at: March 8, 2026, 3:23 p.m.