Triple

T5065508
Position Surface form Disambiguated ID Type / Status
Subject Skien E114133 entity
Predicate locatedOn P40 FINISHED
Object Skienselva
Skienselva is a river in Telemark, Norway, that flows through the town of Skien and forms part of the region’s important waterway system.
 E489951 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: Skienselva | Statement: [Skien, locatedOn, Skienselva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Skienselva
Context triple: [Skien, locatedOn, Skienselva]
  • A. Målselva
    Målselva is a major river in Troms, northern Norway, known for its salmon fishing and scenic valley landscapes.
  • B. Sognsvann
    Sognsvann is a popular recreational lake and surrounding forested area in northern Oslo, Norway, known for hiking, swimming, and outdoor activities.
  • C. Lakselv
    Lakselv is a small town in northern Norway that serves as an administrative and transport hub in Finnmark, near the Porsangerfjorden and close to the North Cape region.
  • D. 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.
  • E. Femundselva
    Femundselva is a river in Norway that drains Lake Femunden and flows southward toward the Swedish border.
  • 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: Skienselva
Triple: [Skien, locatedOn, Skienselva]
Generated description
Skienselva is a river in Telemark, Norway, that flows through the town of Skien and forms part of the region’s important waterway system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Skienselva
Target entity description: Skienselva is a river in Telemark, Norway, that flows through the town of Skien and forms part of the region’s important waterway system.
  • A. Målselva
    Målselva is a major river in Troms, northern Norway, known for its salmon fishing and scenic valley landscapes.
  • B. Sognsvann
    Sognsvann is a popular recreational lake and surrounding forested area in northern Oslo, Norway, known for hiking, swimming, and outdoor activities.
  • C. Lakselv
    Lakselv is a small town in northern Norway that serves as an administrative and transport hub in Finnmark, near the Porsangerfjorden and close to the North Cape region.
  • D. 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.
  • E. Femundselva
    Femundselva is a river in Norway that drains Lake Femunden and flows southward toward the Swedish border.
  • 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_69bd443c0c8c81908663b77afb28e165 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7478f7988190bc0473e8af055147 completed March 20, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69bea49d917081909ead17eed3f8af90 completed March 21, 2026, 2:01 p.m.
NEDg Description generation batch_69bea525d9088190b0b655687dd27630 completed March 21, 2026, 2:03 p.m.
NED2 Entity disambiguation (via description) batch_69bea594850881909cd683670b63a079 completed March 21, 2026, 2:05 p.m.
Created at: March 20, 2026, 1:38 p.m.