Triple

T5098083
Position Surface form Disambiguated ID Type / Status
Subject Møre og Romsdal E114915 entity
Predicate containsSettlement P847 FINISHED
Object Elnesvågen
Elnesvågen is a small coastal village in western Norway, situated in the county of Møre og Romsdal.
 E495239 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: Elnesvågen | Statement: [Møre og Romsdal, containsSettlement, Elnesvågen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Elnesvågen
Context triple: [Møre og Romsdal, containsSettlement, Elnesvågen]
  • A. Fosnavåg
    Fosnavåg is a small coastal town in western Norway known for its maritime industries and scenic North Sea surroundings.
  • B. Brattvåg
    Brattvåg is a small coastal village in western Norway known for its maritime industry and scenic fjord landscape.
  • C. Ranfjorden
    Ranfjorden is a long, narrow fjord in Nordland county, Norway, known for its dramatic coastal landscape and the industrial town of Mo i Rana along its shores.
  • D. Vågsfjorden
    Vågsfjorden is a fjord in northern Norway known for its scenic coastal landscapes and as a maritime hub for surrounding towns and islands.
  • E. Sigerfjord
    Sigerfjord is a small coastal village in northern Norway, situated on the island of Hinnøya in the Vesterålen region.
  • 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: Elnesvågen
Triple: [Møre og Romsdal, containsSettlement, Elnesvågen]
Generated description
Elnesvågen is a small coastal village in western Norway, situated in the county of Møre og Romsdal.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Elnesvågen
Target entity description: Elnesvågen is a small coastal village in western Norway, situated in the county of Møre og Romsdal.
  • A. Fosnavåg
    Fosnavåg is a small coastal town in western Norway known for its maritime industries and scenic North Sea surroundings.
  • B. Brattvåg
    Brattvåg is a small coastal village in western Norway known for its maritime industry and scenic fjord landscape.
  • C. Ranfjorden
    Ranfjorden is a long, narrow fjord in Nordland county, Norway, known for its dramatic coastal landscape and the industrial town of Mo i Rana along its shores.
  • D. Vågsfjorden
    Vågsfjorden is a fjord in northern Norway known for its scenic coastal landscapes and as a maritime hub for surrounding towns and islands.
  • E. Sigerfjord
    Sigerfjord is a small coastal village in northern Norway, situated on the island of Hinnøya in the Vesterålen region.
  • 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_69bd443fc49c819089629c00e311310c completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7567d21081909227ed8f08b74c71 completed March 20, 2026, 4:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69bec363bfb88190a290b92d052a46ef completed March 21, 2026, 4:12 p.m.
NEDg Description generation batch_69bec506d5b88190bcf6e7cb5f602c2f completed March 21, 2026, 4:19 p.m.
NED2 Entity disambiguation (via description) batch_69bec5ae111c8190914e93dc1680d36e completed March 21, 2026, 4:22 p.m.
Created at: March 20, 2026, 1:40 p.m.