Triple

T20998909
Position Surface form Disambiguated ID Type / Status
Subject Vest-Agder E517227 entity
Predicate containsMunicipality P852 FINISHED
Object Marnardal
Marnardal is a rural municipality in Southern Norway known for its forests, rivers, and traditional farming communities.
 E1467587 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: Marnardal | Statement: [Vest-Agder, containsMunicipality, Marnardal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Marnardal
Context triple: [Vest-Agder, containsMunicipality, Marnardal]
  • A. Thamerdal
    Thamerdal is a residential neighborhood within the Dutch town of Uithoorn in the province of North Holland.
  • B. Tyssedal
    Tyssedal is a small industrial village in Vestland county, Norway, known for its historic hydropower facilities and scenic location by the Sørfjorden.
  • C. Rapadalen
    Rapadalen is a renowned, remote river valley in northern Sweden known for its dramatic alpine scenery and rich wildlife within Sarek National Park.
  • D. Vartdal
    Vartdal is a small village in Ørsta Municipality in Møre og Romsdal county, Norway, situated along the Vartdalsfjorden on the western coast.
  • E. Byrkjedal
    Byrkjedal is a small rural village in southwestern Norway, known for its scenic valley setting and traditional Norwegian countryside character.
  • 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: Marnardal
Triple: [Vest-Agder, containsMunicipality, Marnardal]
Generated description
Marnardal is a rural municipality in Southern Norway known for its forests, rivers, and traditional farming communities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Marnardal
Target entity description: Marnardal is a rural municipality in Southern Norway known for its forests, rivers, and traditional farming communities.
  • A. Thamerdal
    Thamerdal is a residential neighborhood within the Dutch town of Uithoorn in the province of North Holland.
  • B. Tyssedal
    Tyssedal is a small industrial village in Vestland county, Norway, known for its historic hydropower facilities and scenic location by the Sørfjorden.
  • C. Rapadalen
    Rapadalen is a renowned, remote river valley in northern Sweden known for its dramatic alpine scenery and rich wildlife within Sarek National Park.
  • D. Vartdal
    Vartdal is a small village in Ørsta Municipality in Møre og Romsdal county, Norway, situated along the Vartdalsfjorden on the western coast.
  • E. Byrkjedal
    Byrkjedal is a small rural village in southwestern Norway, known for its scenic valley setting and traditional Norwegian countryside character.
  • 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_69e0b5006e2881909fc2383f841740cc completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc2395108190871e173354e4ef6f completed April 21, 2026, 4:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0965d103848190af83abb0c239f552 completed May 17, 2026, 6:53 a.m.
NEDg Description generation batch_6a09669ac9988190ba5ec8bcf8dc7eb4 completed May 17, 2026, 6:56 a.m.
NED2 Entity disambiguation (via description) batch_6a0967821ce08190a23d22439c343f49 completed May 17, 2026, 7 a.m.
Created at: April 16, 2026, 1:51 p.m.