Triple

T4365678
Position Surface form Disambiguated ID Type / Status
Subject Drammenselva E98765 entity
Predicate flowsThrough P225 FINISHED
Object Nedre Eiker
Nedre Eiker is a former municipality in Buskerud county, Norway, known for its riverside settlements and industrial heritage along the Drammenselva river.
E436799 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: Nedre Eiker | Statement: [Drammenselva, flowsThrough, Nedre Eiker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nedre Eiker
Context triple: [Drammenselva, flowsThrough, Nedre Eiker]
  • A. Øvre Eiker
    Øvre Eiker is a rural municipality in Buskerud county, Norway, known for its forests, rivers, and traditional agricultural landscape.
  • B. Bekkestua
    Bekkestua is a suburban center in Bærum, Norway, functioning as a local commercial and transport hub just west of Oslo.
  • C. Sørreisa
    Sørreisa is a small coastal municipality and village area in northern Norway known for its fjords and rural Arctic landscape.
  • D. Orkdalen
    Orkdalen is a valley and traditional district in central Norway known for the Orkla River and its agricultural landscapes within Trøndelag county.
  • E. Sognsvann
    Sognsvann is a popular recreational lake and surrounding forested area in northern Oslo, Norway, known for hiking, swimming, and outdoor activities.
  • 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: Nedre Eiker
Triple: [Drammenselva, flowsThrough, Nedre Eiker]
Generated description
Nedre Eiker is a former municipality in Buskerud county, Norway, known for its riverside settlements and industrial heritage along the Drammenselva river.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nedre Eiker
Target entity description: Nedre Eiker is a former municipality in Buskerud county, Norway, known for its riverside settlements and industrial heritage along the Drammenselva river.
  • A. Øvre Eiker
    Øvre Eiker is a rural municipality in Buskerud county, Norway, known for its forests, rivers, and traditional agricultural landscape.
  • B. Bekkestua
    Bekkestua is a suburban center in Bærum, Norway, functioning as a local commercial and transport hub just west of Oslo.
  • C. Sørreisa
    Sørreisa is a small coastal municipality and village area in northern Norway known for its fjords and rural Arctic landscape.
  • D. Orkdalen
    Orkdalen is a valley and traditional district in central Norway known for the Orkla River and its agricultural landscapes within Trøndelag county.
  • E. Sognsvann
    Sognsvann is a popular recreational lake and surrounding forested area in northern Oslo, Norway, known for hiking, swimming, and outdoor activities.
  • 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_69b3454c772081908e20173e379e8ebe completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35200263081909bb326a4d7a8db99 completed March 12, 2026, 11:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5f5d4612c8190ac5163d50299f8ab completed March 14, 2026, 11:57 p.m.
NEDg Description generation batch_69b5f674c94c81908327336dd4380d2e completed March 14, 2026, 11:59 p.m.
NED2 Entity disambiguation (via description) batch_69b5f719d008819090a35e3597a0089f completed March 15, 2026, 12:02 a.m.
Created at: March 12, 2026, 11:17 p.m.