Triple

T4365708
Position Surface form Disambiguated ID Type / Status
Subject Drammenselva E98765 entity
Predicate passesNear P416 FINISHED
Object Krokstadelva
Krokstadelva is a town in Viken county, Norway, situated along the Drammenselva river and known historically for its industrial and residential character.
E440446 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: Krokstadelva | Statement: [Drammenselva, passesNear, Krokstadelva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Krokstadelva
Context triple: [Drammenselva, passesNear, Krokstadelva]
  • A. Børselva
    Børselva is a river in northern Norway known for flowing into Porsangerfjorden and for its scenic Arctic landscape and salmon fishing.
  • B. Moldeelva
    Moldeelva is a river flowing through the Norwegian town of Molde, contributing to its landscape and local environment.
  • C. Stabburselva
    Stabburselva is a river in northern Norway known for flowing through Stabbursdalen National Park and for its rich salmon fishing.
  • D. Lysakerelva
    Lysakerelva is a river in the Oslo area of Norway that forms part of the boundary between the municipalities of Oslo and Bærum and is known for its waterfalls, hiking paths, and historical industrial sites.
  • E. Målselva
    Målselva is a major river in Troms, northern Norway, known for its salmon fishing and scenic valley landscapes.
  • 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: Krokstadelva
Triple: [Drammenselva, passesNear, Krokstadelva]
Generated description
Krokstadelva is a town in Viken county, Norway, situated along the Drammenselva river and known historically for its industrial and residential character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Krokstadelva
Target entity description: Krokstadelva is a town in Viken county, Norway, situated along the Drammenselva river and known historically for its industrial and residential character.
  • A. Børselva
    Børselva is a river in northern Norway known for flowing into Porsangerfjorden and for its scenic Arctic landscape and salmon fishing.
  • B. Moldeelva
    Moldeelva is a river flowing through the Norwegian town of Molde, contributing to its landscape and local environment.
  • C. Stabburselva
    Stabburselva is a river in northern Norway known for flowing through Stabbursdalen National Park and for its rich salmon fishing.
  • D. Lysakerelva
    Lysakerelva is a river in the Oslo area of Norway that forms part of the boundary between the municipalities of Oslo and Bærum and is known for its waterfalls, hiking paths, and historical industrial sites.
  • E. Målselva
    Målselva is a major river in Troms, northern Norway, known for its salmon fishing and scenic valley landscapes.
  • 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_69b61352f8308190af30daeaae0bf0d6 completed March 15, 2026, 2:02 a.m.
NEDg Description generation batch_69b613f0d5dc8190a48e60c63ea9d717 completed March 15, 2026, 2:05 a.m.
NED2 Entity disambiguation (via description) batch_69b617f70f608190bce1043c2254c9e5 completed March 15, 2026, 2:22 a.m.
Created at: March 12, 2026, 11:17 p.m.