Triple

T15878094
Position Surface form Disambiguated ID Type / Status
Subject Ørsta E385000 entity
Predicate hasSettlement P1068 FINISHED
Object Vartdal
Vartdal is a small village in Ørsta Municipality in Møre og Romsdal county, Norway, situated along the Vartdalsfjorden on the western coast.
E1287217 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: Vartdal | Statement: [Ørsta, hasSettlement, Vartdal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vartdal
Context triple: [Ørsta, hasSettlement, Vartdal]
  • A. Gravdal
    Gravdal is a small coastal village on the island of Vestvågøy in Norway’s Lofoten archipelago.
  • B. Vålebru
    Vålebru is a village in Innlandet county, Norway, serving as the main local hub for services and administration in Ringebu municipality.
  • C. Valldal
    Valldal is a village in western Norway known for its scenic fjord landscape and strawberry farming, situated in the county of Møre og Romsdal.
  • D. Finnsnes
    Finnsnes is a small coastal town in northern Norway that serves as a commercial and transport hub for the island municipality of Senja.
  • E. Tyssedal
    Tyssedal is a small industrial village in Vestland county, Norway, known for its historic hydropower facilities and scenic location by the Sørfjorden.
  • 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: Vartdal
Triple: [Ørsta, hasSettlement, Vartdal]
Generated description
Vartdal is a small village in Ørsta Municipality in Møre og Romsdal county, Norway, situated along the Vartdalsfjorden on the western coast.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vartdal
Target entity description: Vartdal is a small village in Ørsta Municipality in Møre og Romsdal county, Norway, situated along the Vartdalsfjorden on the western coast.
  • A. Gravdal
    Gravdal is a small coastal village on the island of Vestvågøy in Norway’s Lofoten archipelago.
  • B. Vålebru
    Vålebru is a village in Innlandet county, Norway, serving as the main local hub for services and administration in Ringebu municipality.
  • C. Valldal
    Valldal is a village in western Norway known for its scenic fjord landscape and strawberry farming, situated in the county of Møre og Romsdal.
  • D. Finnsnes
    Finnsnes is a small coastal town in northern Norway that serves as a commercial and transport hub for the island municipality of Senja.
  • E. Tyssedal
    Tyssedal is a small industrial village in Vestland county, Norway, known for its historic hydropower facilities and scenic location by the Sørfjorden.
  • 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_69d86da4e86481909f1325fdc971b5ec completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e155fec9d4819081efea504e1e3952 completed April 16, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a02ef9f91c0819080931a4f21546915 completed May 12, 2026, 9:15 a.m.
NEDg Description generation batch_6a02f113a41c8190b17611eaa50516ca completed May 12, 2026, 9:21 a.m.
NED2 Entity disambiguation (via description) batch_6a02f1e980f4819087eb191e13396581 completed May 12, 2026, 9:24 a.m.
Created at: April 10, 2026, 4:51 a.m.