Triple

T20050981
Position Surface form Disambiguated ID Type / Status
Subject Meldal E499195 entity
Predicate traversedBy P225 FINISHED
Object Orkla River NE NERFINISHED

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: Orkla River | Statement: [Meldal, traversedBy, Orkla River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orkla River
Context triple: [Meldal, traversedBy, Orkla River]
  • A. Orkla River chosen
    The Orkla River is a major river in Trøndelag, central Norway, known for flowing through the Orkdalen valley and for its historically important salmon fisheries and hydropower resources.
  • B. Blavet River
    The Blavet River is a waterway in Brittany, northwestern France, that flows into the Atlantic Ocean near the port city of Lorient.
  • C. Österdal River
    The Österdal River is a major river in central Sweden that flows through the Dalarna region and joins the Västerdal River to form the Dalälven.
  • D. Alna River
    The Alna River is a watercourse in Oslo, Norway, that flows through the Alna district and several other urban and natural areas before reaching the Oslofjord.
  • E. Stör River
    The Stör River is a watercourse in northern Germany that drains Lake Schwerin and flows through Mecklenburg-Vorpommern before joining larger river systems.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6276bcf48190aabbf279192a5fb4 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6632d9d888190b0985bb5ed989311 completed April 20, 2026, 5:32 p.m.
Created at: April 11, 2026, 3:38 p.m.