Triple

T14377366
Position Surface form Disambiguated ID Type / Status
Subject Lake Siljan E356508 entity
Predicate hasInflow P967 FINISHED
Object Oreälven
Oreälven is a river in central Sweden that flows through Dalarna County and ultimately drains into Lake Siljan.
E1097782 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: Oreälven | Statement: [Lake Siljan, hasInflow, Oreälven]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oreälven
Context triple: [Lake Siljan, hasInflow, Oreälven]
  • A. Eidselva
    Eidselva is a river in Norway that serves as one of the main waterways feeding into the lake Norsjø.
  • B. Fyris River
    The Fyris River is a notable waterway in eastern Sweden that flows through the city of Uppsala and is closely associated with its history and landscape.
  • C. Byälven
    Byälven is a river in western Sweden that flows into Lake Vänern, contributing significantly to its water system.
  • D. Sauarelva
    Sauarelva is a river in Telemark, Norway, that serves as a tributary feeding into the lake Norsjø.
  • E. Torne älv
    Torne älv is a major river in northern Sweden and Finland that flows from the Scandinavian Mountains to the Gulf of Bothnia, forming part of the border between the two countries.
  • 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: Oreälven
Triple: [Lake Siljan, hasInflow, Oreälven]
Generated description
Oreälven is a river in central Sweden that flows through Dalarna County and ultimately drains into Lake Siljan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Oreälven
Target entity description: Oreälven is a river in central Sweden that flows through Dalarna County and ultimately drains into Lake Siljan.
  • A. Eidselva
    Eidselva is a river in Norway that serves as one of the main waterways feeding into the lake Norsjø.
  • B. Fyris River
    The Fyris River is a notable waterway in eastern Sweden that flows through the city of Uppsala and is closely associated with its history and landscape.
  • C. Byälven
    Byälven is a river in western Sweden that flows into Lake Vänern, contributing significantly to its water system.
  • D. Sauarelva
    Sauarelva is a river in Telemark, Norway, that serves as a tributary feeding into the lake Norsjø.
  • E. Torne älv
    Torne älv is a major river in northern Sweden and Finland that flows from the Scandinavian Mountains to the Gulf of Bothnia, forming part of the border between the two countries.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de900949fc81909be0da1734c46645 completed April 14, 2026, 7:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd551002948190aeb93d245e1449a7 completed May 8, 2026, 3:14 a.m.
NEDg Description generation batch_69fd575167e48190a7a014ba80433b9d completed May 8, 2026, 3:24 a.m.
NED2 Entity disambiguation (via description) batch_69fd57a6711881909429bba35ee867c6 completed May 8, 2026, 3:25 a.m.
Created at: April 10, 2026, 1:16 a.m.