Triple

T14734183
Position Surface form Disambiguated ID Type / Status
Subject Norrbotten County E346158 entity
Predicate contains P35 FINISHED
Object Kalix River E291647 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: Kalix River | Statement: [Norrbotten County, contains, Kalix River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kalix River
Context triple: [Norrbotten County, contains, Kalix River]
  • A. Kalix River chosen
    The Kalix River is a major free-flowing river in northern Sweden that runs through Norrbotten County before emptying into the Bothnian Bay of the Baltic Sea.
  • B. Lez River
    The Lez River is a short coastal river in southern France that flows through the city of Montpellier before emptying into the Mediterranean Sea.
  • C. Sorne River
    The Sorne River is a watercourse in the Jura region of Switzerland that flows through the town of Delémont and contributes to the area's characteristic valley landscape.
  • D. Tea River
    The Tea River is a waterway in the Galicia region of northwestern Spain that flows past the town of Ponteareas before joining the Miño River.
  • E. Ager River
    The Ager River is a watercourse in Upper Austria that flows through the Salzkammergut region and ultimately joins the Traun River.
  • 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec72ea9348190817efcdaa973d7f7 completed April 14, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd1de868819084d71f75210d14f5 completed May 9, 2026, 7:07 a.m.
Created at: April 10, 2026, 1:29 a.m.