Triple

T3687583
Position Surface form Disambiguated ID Type / Status
Subject Bømlo E78261 entity
Predicate hasSettlement P1068 FINISHED
Object Finnås
Finnås is a village and former church-centered parish on the island municipality of Bømlo in Vestland county, Norway.
 E389214 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: Finnås | Statement: [Bømlo, hasSettlement, Finnås]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Finnås
Context triple: [Bømlo, hasSettlement, Finnås]
  • A. Fagernes
    Fagernes is a small town in central Norway that serves as a regional hub and gateway to the mountainous Valdres district.
  • B. Bolnes
    Bolnes is a Dutch surname most notably associated with Catharina Bolnes, the wife of painter Johannes Vermeer.
  • C. Nordingrå
    Nordingrå is a small locality in Sweden’s High Coast region, known for its coastal landscapes and traditional rural communities.
  • D. Hafslund
    Hafslund is a major Norwegian energy and utility company known for its role in electricity production, distribution, and related services.
  • E. Svaneke
    Svaneke is a picturesque coastal town on the Danish island of Bornholm, known for its well-preserved half-timbered houses, harbor, and traditional smokehouses.
  • 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: Finnås
Triple: [Bømlo, hasSettlement, Finnås]
Generated description
Finnås is a village and former church-centered parish on the island municipality of Bømlo in Vestland county, Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Finnås
Target entity description: Finnås is a village and former church-centered parish on the island municipality of Bømlo in Vestland county, Norway.
  • A. Fagernes
    Fagernes is a small town in central Norway that serves as a regional hub and gateway to the mountainous Valdres district.
  • B. Bolnes
    Bolnes is a Dutch surname most notably associated with Catharina Bolnes, the wife of painter Johannes Vermeer.
  • C. Nordingrå
    Nordingrå is a small locality in Sweden’s High Coast region, known for its coastal landscapes and traditional rural communities.
  • D. Hafslund
    Hafslund is a major Norwegian energy and utility company known for its role in electricity production, distribution, and related services.
  • E. Svaneke
    Svaneke is a picturesque coastal town on the Danish island of Bornholm, known for its well-preserved half-timbered houses, harbor, and traditional smokehouses.
  • 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_69ad85e285a081908f8cbfa9e2ed9b75 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc4c7e2bc81909356c8b0ed90feed completed March 8, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4f024962881908b5fe52f594a5d03 completed March 14, 2026, 5:20 a.m.
NEDg Description generation batch_69b4f41c63788190a6b8b6a71d49b5ac completed March 14, 2026, 5:37 a.m.
NED2 Entity disambiguation (via description) batch_69b4f4b218a08190802079fff249deb6 completed March 14, 2026, 5:40 a.m.
Created at: March 8, 2026, 3:26 p.m.