Triple

T6069664
Position Surface form Disambiguated ID Type / Status
Subject Midtbyen, Trondheim E135247 entity
Predicate adjacentTo P224 FINISHED
Object Nidelva
Nidelva is the main river flowing through Trondheim, Norway, known for its scenic bends, historic waterfront buildings, and central role in the city’s landscape.
 E567375 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: Nidelva | Statement: [Midtbyen, Trondheim, adjacentTo, Nidelva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nidelva
Context triple: [Midtbyen, Trondheim, adjacentTo, Nidelva]
  • A. Nidelva river
    Nidelva river is a river in southern Norway that flows through the county of Agder, including the municipality of Froland, before reaching the city of Arendal and the Skagerrak coast.
  • B. Nesset
    Nesset is a former municipality in western Norway known for its scenic fjord landscapes and rural communities.
  • C. Eidselva
    Eidselva is a river in Norway that serves as one of the main waterways feeding into the lake Norsjø.
  • D. Moldeelva
    Moldeelva is a river flowing through the Norwegian town of Molde, contributing to its landscape and local environment.
  • E. Krokstadelva
    Krokstadelva is a town in Viken county, Norway, situated along the Drammenselva river and known historically for its industrial and residential 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: Nidelva
Triple: [Midtbyen, Trondheim, adjacentTo, Nidelva]
Generated description
Nidelva is the main river flowing through Trondheim, Norway, known for its scenic bends, historic waterfront buildings, and central role in the city’s landscape.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nidelva
Target entity description: Nidelva is the main river flowing through Trondheim, Norway, known for its scenic bends, historic waterfront buildings, and central role in the city’s landscape.
  • A. Nidelva river
    Nidelva river is a river in southern Norway that flows through the county of Agder, including the municipality of Froland, before reaching the city of Arendal and the Skagerrak coast.
  • B. Nesset
    Nesset is a former municipality in western Norway known for its scenic fjord landscapes and rural communities.
  • C. Eidselva
    Eidselva is a river in Norway that serves as one of the main waterways feeding into the lake Norsjø.
  • D. Moldeelva
    Moldeelva is a river flowing through the Norwegian town of Molde, contributing to its landscape and local environment.
  • E. Krokstadelva
    Krokstadelva is a town in Viken county, Norway, situated along the Drammenselva river and known historically for its industrial and residential 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_69c00879e8048190b690717d19c5bc03 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0574157848190bb8e0972eb55a363 completed March 22, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11d349f288190833384eb9e6c7f52 completed March 23, 2026, 11 a.m.
NEDg Description generation batch_69c11ec11864819084c31d98133ca53a completed March 23, 2026, 11:06 a.m.
NED2 Entity disambiguation (via description) batch_69c11f29842881909acf88a1fa896354 completed March 23, 2026, 11:08 a.m.
Created at: March 22, 2026, 4:10 p.m.