Triple

T17657954
Position Surface form Disambiguated ID Type / Status
Subject Gjende E440173 entity
Predicate outflow P967 FINISHED
Object River Sjoa 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: River Sjoa | Statement: [Gjende, outflow, River Sjoa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: River Sjoa
Context triple: [Gjende, outflow, River Sjoa]
  • A. Sjoa River chosen
    The Sjoa River is a well-known whitewater river in Innlandet county, Norway, famed for its rafting, kayaking, and scenic mountain surroundings.
  • B. Porsgrunn River
    The Porsgrunn River is a waterway in Telemark county, Norway, flowing through the town of Porsgrunn as part of the larger Skienselva river system.
  • C. Lærdalselvi
    Lærdalselvi is a renowned salmon river in western Norway, flowing through the Lærdal valley to the Sognefjord and known for both its fishing and scenic landscape.
  • D. Jakobselva
    Jakobselva is a river in northern Norway that forms part of the border between Norway and Russia.
  • E. Solbergelva
    Solbergelva is a village in Viken county, Norway, situated along the Drammenselva river and functioning largely as a residential suburb of Drammen.
  • 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_69d8b9e87e18819087104a44dc4dc5b1 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46ea3b4cc81908eec7032cf221d49 completed April 19, 2026, 5:56 a.m.
Created at: April 10, 2026, 9:28 a.m.