Triple

T6019374
Position Surface form Disambiguated ID Type / Status
Subject Oslo county E134025 entity
Predicate hasRiver P165 FINISHED
Object Alna
Alna is a river in Oslo, Norway, that flows through several urban districts before emptying into the Oslofjord.
 E562152 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: Alna | Statement: [Oslo county, hasRiver, Alna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Alna
Context triple: [Oslo county, hasRiver, Alna]
  • A. Alnôba
    Alnôba is an Indigenous Algonquian language traditionally spoken by the Western Abenaki people of northeastern North America.
  • B. Nelaug
    Nelaug is a small village and railway junction in Agder county, Norway, known for connecting the Arendal Line with the Sørlandet Line.
  • C. Synnervika
    Synnervika is a small lakeside locality in Norway that serves as a key access point and harbor area on the shores of Lake Femunden.
  • D. Ulsteinvik
    Ulsteinvik is a coastal town in western Norway known for its maritime industry and shipbuilding, serving as the administrative center of Ulstein Municipality.
  • E. Ulvik
    Ulvik is a small scenic municipality and village area in Vestland county, Norway, known for its fjord landscape, fruit orchards, and location along the inner reaches of the Hardanger region.
  • 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: Alna
Triple: [Oslo county, hasRiver, Alna]
Generated description
Alna is a river in Oslo, Norway, that flows through several urban districts before emptying into the Oslofjord.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Alna
Target entity description: Alna is a river in Oslo, Norway, that flows through several urban districts before emptying into the Oslofjord.
  • A. Alnôba
    Alnôba is an Indigenous Algonquian language traditionally spoken by the Western Abenaki people of northeastern North America.
  • B. Nelaug
    Nelaug is a small village and railway junction in Agder county, Norway, known for connecting the Arendal Line with the Sørlandet Line.
  • C. Synnervika
    Synnervika is a small lakeside locality in Norway that serves as a key access point and harbor area on the shores of Lake Femunden.
  • D. Ulsteinvik
    Ulsteinvik is a coastal town in western Norway known for its maritime industry and shipbuilding, serving as the administrative center of Ulstein Municipality.
  • E. Ulvik
    Ulvik is a small scenic municipality and village area in Vestland county, Norway, known for its fjord landscape, fruit orchards, and location along the inner reaches of the Hardanger region.
  • 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_69c008742a5c8190b9cb9c2787a3d8b3 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04f86efec8190bc357dddf6ebb4a9 completed March 22, 2026, 8:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c108be2170819084b4b940e52b0185 completed March 23, 2026, 9:32 a.m.
NEDg Description generation batch_69c10abc9aa08190acf1ced6a8be322e completed March 23, 2026, 9:41 a.m.
NED2 Entity disambiguation (via description) batch_69c10b5c118c8190aaf5461c40472022 completed March 23, 2026, 9:43 a.m.
Created at: March 22, 2026, 4:07 p.m.