Triple

T5152349
Position Surface form Disambiguated ID Type / Status
Subject Norsjø E116225 entity
Predicate inflow P415 FINISHED
Object Sauarelva
Sauarelva is a river in Telemark, Norway, that serves as a tributary feeding into the lake Norsjø.
 E505590 NE FINISHED

How this triple was built (4 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: Sauarelva | Statement: [Norsjø, inflow, Sauarelva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sauarelva
Context triple: [Norsjø, inflow, Sauarelva]
  • A. Eidselva
    Eidselva is a river in Norway that serves as one of the main waterways feeding into the lake Norsjø.
  • B. Reisaelva
    Reisaelva is a major river in Troms county in northern Norway, known for flowing through the scenic Reisa National Park and its deep canyon landscapes.
  • C. Arve River
    The Arve River is a glacial river in the Alps that flows through France and Switzerland, notably passing through Geneva before joining the Rhône.
  • D. Nidelva river
    Nidelva river is a river in southern Norway that flows through the county of Agder, including the municipality of Froland, before reaching the city of Arendal and the Skagerrak coast.
  • E. Krokstadelva
    Krokstadelva is a town in Viken county, Norway, situated along the Drammenselva river and known historically for its industrial and residential character.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sauarelva
Triple: [Norsjø, inflow, Sauarelva]
Generated description
Sauarelva is a river in Telemark, Norway, that serves as a tributary feeding into the lake Norsjø.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sauarelva
Target entity description: Sauarelva is a river in Telemark, Norway, that serves as a tributary feeding into the lake Norsjø.
  • A. Eidselva
    Eidselva is a river in Norway that serves as one of the main waterways feeding into the lake Norsjø.
  • B. Reisaelva
    Reisaelva is a major river in Troms county in northern Norway, known for flowing through the scenic Reisa National Park and its deep canyon landscapes.
  • C. Arve River
    The Arve River is a glacial river in the Alps that flows through France and Switzerland, notably passing through Geneva before joining the Rhône.
  • D. Nidelva river
    Nidelva river is a river in southern Norway that flows through the county of Agder, including the municipality of Froland, before reaching the city of Arendal and the Skagerrak coast.
  • E. Krokstadelva
    Krokstadelva is a town in Viken county, Norway, situated along the Drammenselva river and known historically for its industrial and residential character.
  • F. None of above. chosen

Provenance (5 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_69bd445d94788190b72e2cc563120995 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd78daab708190a42734a14dddb2fc completed March 20, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69bef7f117ac8190a03379437484627b completed March 21, 2026, 7:56 p.m.
NEDg Description generation batch_69bef933c4008190bea3a5a7e5de17e6 completed March 21, 2026, 8:01 p.m.
NED2 Entity disambiguation (via description) batch_69bef9a600908190bdaff60b7a514538 completed March 21, 2026, 8:03 p.m.
Created at: March 20, 2026, 1:44 p.m.