Triple

T17809974
Position Surface form Disambiguated ID Type / Status
Subject Altafjorden E444671 entity
Predicate hasInlet P23365 FINISHED
Object Vargsundet
Vargsundet is a strait in northern Norway that connects the Altafjorden to surrounding coastal waters and separates parts of the Finnmark coastline.
 E1291900 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: Vargsundet | Statement: [Altafjorden, hasInlet, Vargsundet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vargsundet
Context triple: [Altafjorden, hasInlet, Vargsundet]
  • A. Bogesund
    Bogesund is a locality in Sweden known for its surrounding archipelago landscape, forests, and recreational natural areas.
  • B. Forlandsundet
    Forlandsundet is a strait in the Svalbard archipelago that separates the island of Prins Karls Forland from the west coast of Spitsbergen.
  • C. Hundvåg
    Hundvåg is an island in southwestern Norway that forms part of the city of Stavanger and is known for its residential areas and coastal landscape.
  • D. Gisundet
    Gisundet is a narrow strait in northern Norway that separates the island of Senja from the mainland and connects the Malangen fjord to the Gisundet sound.
  • E. Svinesund
    Svinesund is a strait forming part of the border between Norway and Sweden, best known for its bridges and role as a major road crossing between the two countries.
  • 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: Vargsundet
Triple: [Altafjorden, hasInlet, Vargsundet]
Generated description
Vargsundet is a strait in northern Norway that connects the Altafjorden to surrounding coastal waters and separates parts of the Finnmark coastline.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vargsundet
Target entity description: Vargsundet is a strait in northern Norway that connects the Altafjorden to surrounding coastal waters and separates parts of the Finnmark coastline.
  • A. Bogesund
    Bogesund is a locality in Sweden known for its surrounding archipelago landscape, forests, and recreational natural areas.
  • B. Forlandsundet
    Forlandsundet is a strait in the Svalbard archipelago that separates the island of Prins Karls Forland from the west coast of Spitsbergen.
  • C. Hundvåg
    Hundvåg is an island in southwestern Norway that forms part of the city of Stavanger and is known for its residential areas and coastal landscape.
  • D. Gisundet
    Gisundet is a narrow strait in northern Norway that separates the island of Senja from the mainland and connects the Malangen fjord to the Gisundet sound.
  • E. Svinesund
    Svinesund is a strait forming part of the border between Norway and Sweden, best known for its bridges and role as a major road crossing between the two countries.
  • 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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4887a50488190b9c148146ec607e6 completed April 19, 2026, 7:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a030c5557788190bfd7b9af6d8d3035 completed May 12, 2026, 11:17 a.m.
NEDg Description generation batch_6a030cf60a9c8190903b3b563238b575 completed May 12, 2026, 11:20 a.m.
NED2 Entity disambiguation (via description) batch_6a030d8a3a1c81909e311d19201bbd42 completed May 12, 2026, 11:22 a.m.
Created at: April 10, 2026, 10:14 a.m.