Triple

T19440052
Position Surface form Disambiguated ID Type / Status
Subject Namsenfjorden E486325 entity
Predicate hasInflow P967 FINISHED
Object Namsen 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: Namsen River | Statement: [Namsenfjorden, hasInflow, Namsen River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Namsen River
Context triple: [Namsenfjorden, hasInflow, Namsen River]
  • A. river Namsen chosen
    River Namsen is a major salmon river in Trøndelag county, central Norway, renowned for its rich fishing grounds and scenic valley.
  • B. Imo River
    The Imo River is a significant river in southeastern Nigeria that flows through Imo State and into the Atlantic Ocean, supporting local agriculture, fishing, and transportation.
  • C. 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.
  • D. Nizao River
    The Nizao River is a significant waterway in the Dominican Republic that flows from the Cordillera Central mountains toward the Caribbean, supporting irrigation, hydroelectric power, and local communities along its course.
  • E. Sjoa River
    The Sjoa River is a well-known whitewater river in Innlandet county, Norway, famed for its rafting, kayaking, and scenic mountain surroundings.
  • 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_69d8e8d7ad488190a3373045029b0f3b completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63364371081908e899c2a47af4e5d completed April 20, 2026, 2:08 p.m.
Created at: April 10, 2026, 1:38 p.m.