Triple

T13799315
Position Surface form Disambiguated ID Type / Status
Subject Lake Vänern E331596 entity
Predicate primaryInflow P4496 FINISHED
Object Byälven
Byälven is a river in western Sweden that flows into Lake Vänern, contributing significantly to its water system.
 E1066051 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: Byälven | Statement: [Lake Vänern, primaryInflow, Byälven]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Byälven
Context triple: [Lake Vänern, primaryInflow, Byälven]
  • A. Västerdalälven
    Västerdalälven is a major river in central Sweden that forms one of the two main headwaters of the Dalälven, flowing through the Dalarna region.
  • B. Vängelälven
    Vängelälven is a river in northern Sweden that serves as one of the tributaries feeding into the larger Ångerman River system.
  • C. Klarälven
    Klarälven is a major river in Norway and Sweden that flows south through Värmland before emptying into Lake Vänern.
  • D. Göta älv
    Göta älv is a major river in southwestern Sweden that flows from Lake Vänern to the Kattegat, passing through the city of Gothenburg and serving as an important waterway for transport and industry.
  • E. Dalälven
    Dalälven is a major river in central Sweden known for its extensive watershed, hydroelectric power stations, and rich natural and recreational areas.
  • 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: Byälven
Triple: [Lake Vänern, primaryInflow, Byälven]
Generated description
Byälven is a river in western Sweden that flows into Lake Vänern, contributing significantly to its water system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Byälven
Target entity description: Byälven is a river in western Sweden that flows into Lake Vänern, contributing significantly to its water system.
  • A. Västerdalälven
    Västerdalälven is a major river in central Sweden that forms one of the two main headwaters of the Dalälven, flowing through the Dalarna region.
  • B. Vängelälven
    Vängelälven is a river in northern Sweden that serves as one of the tributaries feeding into the larger Ångerman River system.
  • C. Klarälven
    Klarälven is a major river in Norway and Sweden that flows south through Värmland before emptying into Lake Vänern.
  • D. Göta älv
    Göta älv is a major river in southwestern Sweden that flows from Lake Vänern to the Kattegat, passing through the city of Gothenburg and serving as an important waterway for transport and industry.
  • E. Dalälven
    Dalälven is a major river in central Sweden known for its extensive watershed, hydroelectric power stations, and rich natural and recreational areas.
  • 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_69d81c58feb08190a77bca8bf7d6d20f completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de025ce9148190b23370f6a522ff7a completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0e5251c81909f3f40dcdea1772f completed May 3, 2026, 9:40 p.m.
NEDg Description generation batch_69f7c1e73fb481909f89ab3c0e9fb7d0 completed May 3, 2026, 9:45 p.m.
NED2 Entity disambiguation (via description) batch_69f7c3396f7c8190987079bf24ac8695 completed May 3, 2026, 9:50 p.m.
Created at: April 9, 2026, 10:11 p.m.