Triple

T21275541
Position Surface form Disambiguated ID Type / Status
Subject Smøla E524377 entity
Predicate hasDemonym P191 FINISHED
Object Smølværing
Smølværing is the term for a resident or native of the island municipality of Smøla in Møre og Romsdal county, Norway.
E1475229 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: Smølværing | Statement: [Smøla, hasDemonym, Smølværing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Smølværing
Context triple: [Smøla, hasDemonym, Smølværing]
  • A. Selvær
    Selvær is the demonym for inhabitants of Sel municipality in Norway.
  • B. Storvreten
    Storvreten is a residential locality within Botkyrka Municipality in the Stockholm County area of Sweden.
  • C. Smiltene
    Smiltene is a small town in northern Latvia known for its scenic surroundings, historical sites, and role as a local administrative and cultural center.
  • D. Straumgjerde
    Straumgjerde is a village in Sykkylven Municipality in Møre og Romsdal county, Norway, known for its scenic fjord-side setting amid steep mountains.
  • E. Krokkleiva
    Krokkleiva is a notable geographic feature in the municipality of Hole in Norway, known for its steep terrain and scenic surroundings.
  • 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: Smølværing
Triple: [Smøla, hasDemonym, Smølværing]
Generated description
Smølværing is the term for a resident or native of the island municipality of Smøla in Møre og Romsdal county, Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Smølværing
Target entity description: Smølværing is the term for a resident or native of the island municipality of Smøla in Møre og Romsdal county, Norway.
  • A. Selvær
    Selvær is the demonym for inhabitants of Sel municipality in Norway.
  • B. Storvreten
    Storvreten is a residential locality within Botkyrka Municipality in the Stockholm County area of Sweden.
  • C. Smiltene
    Smiltene is a small town in northern Latvia known for its scenic surroundings, historical sites, and role as a local administrative and cultural center.
  • D. Straumgjerde
    Straumgjerde is a village in Sykkylven Municipality in Møre og Romsdal county, Norway, known for its scenic fjord-side setting amid steep mountains.
  • E. Krokkleiva
    Krokkleiva is a notable geographic feature in the municipality of Hole in Norway, known for its steep terrain and scenic surroundings.
  • 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_69e0b516293c819089458ea2ec85f85e completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e736577fd48190a0038a6ac5678668 completed April 21, 2026, 8:33 a.m.
NED1 Entity disambiguation (via context triple) batch_6a099008c7788190a9b49d876eb02161 completed May 17, 2026, 9:53 a.m.
NEDg Description generation batch_6a0991a69afc8190bf48f6485998d442 completed May 17, 2026, 10 a.m.
NED2 Entity disambiguation (via description) batch_6a09922cc57c8190bbf6ce0916e43571 completed May 17, 2026, 10:02 a.m.
Created at: April 16, 2026, 4:02 p.m.