Triple

T14895002
Position Surface form Disambiguated ID Type / Status
Subject Österdalälven E359848 entity
Predicate riverSystem P1009 FINISHED
Object Dalälven river system E150613 NE FINISHED

How this triple was built (2 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: Dalälven river system | Statement: [Österdalälven, riverSystem, Dalälven river system]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dalälven river system
Context triple: [Österdalälven, riverSystem, Dalälven river system]
  • A. Dalälven chosen
    Dalälven is a major river in central Sweden known for its extensive watershed, hydroelectric power stations, and rich natural and recreational areas.
  • B. Klarälven
    Klarälven is a major river in Norway and Sweden that flows south through Värmland before emptying into Lake Vänern.
  • C. Byälven
    Byälven is a river in western Sweden that flows into Lake Vänern, contributing significantly to its water system.
  • D. Ångerman River
    The Ångerman River is a major river in northern Sweden known for its long course through forested landscapes before emptying into the Gulf of Bothnia.
  • E. Skellefte River
    The Skellefte River is a major river in northern Sweden that flows through Västerbotten County to the Gulf of Bothnia and has historically supported regional mining, hydropower, and settlement.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d827980cbc8190a0c569ae3940a1d9 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69ded6070b248190be8f4f91a0c0b1f3 completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe8bcf32a48190b1f036016f2689b7 completed May 9, 2026, 1:20 a.m.
Created at: April 10, 2026, 2:10 a.m.