Triple

T13808340
Position Surface form Disambiguated ID Type / Status
Subject Sel municipality E331816 entity
Predicate hasDemonym P191 FINISHED
Object Selvær
Selvær is the demonym for inhabitants of Sel municipality in Norway.
E1062786 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: Selvær | Statement: [Sel municipality, hasDemonym, Selvær]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Selvær
Context triple: [Sel municipality, hasDemonym, Selvær]
  • A. Alværn
    Alværn is a small settlement in Nesodden municipality in Viken county, Norway, known primarily as a residential area within commuting distance of Oslo.
  • B. Storvreten
    Storvreten is a residential locality within Botkyrka Municipality in the Stockholm County area of Sweden.
  • C. Dovrebanen
    Dovrebanen is a major Norwegian railway line connecting Oslo and Trondheim across the Dovrefjell mountain area.
  • D. Tysvær
    Tysvær is a coastal municipality in southwestern Norway known for its fjords, islands, and location between the cities of Haugesund and Stavanger.
  • E. Espevær
    Espevær is a small island and fishing village in Vestland county, Norway, known for its traditional coastal culture and scenic maritime environment.
  • 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: Selvær
Triple: [Sel municipality, hasDemonym, Selvær]
Generated description
Selvær is the demonym for inhabitants of Sel municipality in Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Selvær
Target entity description: Selvær is the demonym for inhabitants of Sel municipality in Norway.
  • A. Alværn
    Alværn is a small settlement in Nesodden municipality in Viken county, Norway, known primarily as a residential area within commuting distance of Oslo.
  • B. Storvreten
    Storvreten is a residential locality within Botkyrka Municipality in the Stockholm County area of Sweden.
  • C. Dovrebanen
    Dovrebanen is a major Norwegian railway line connecting Oslo and Trondheim across the Dovrefjell mountain area.
  • D. Tysvær
    Tysvær is a coastal municipality in southwestern Norway known for its fjords, islands, and location between the cities of Haugesund and Stavanger.
  • E. Espevær
    Espevær is a small island and fishing village in Vestland county, Norway, known for its traditional coastal culture and scenic maritime environment.
  • 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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de026eae8481908b8880635e6a9152 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b08fbc348190a199c5d92e0e46be completed May 3, 2026, 8:31 p.m.
NEDg Description generation batch_69f7b15143108190a49a09afba93eb45 completed May 3, 2026, 8:34 p.m.
NED2 Entity disambiguation (via description) batch_69f7b50c31ac81909b17013d57dda164 completed May 3, 2026, 8:50 p.m.
Created at: April 9, 2026, 10:12 p.m.