Triple

T15751389
Position Surface form Disambiguated ID Type / Status
Subject Skibotn E381853 entity
Predicate locatedAtMouthOf P165 FINISHED
Object Skibotnelva
Skibotnelva is a river in northern Norway that flows into the village of Skibotn in Troms og Finnmark county.
 E381853 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: Skibotnelva | Statement: [Skibotn, locatedAtMouthOf, Skibotnelva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Skibotnelva
Context triple: [Skibotn, locatedAtMouthOf, Skibotnelva]
  • A. Skibotn
    Skibotn is a small village in northern Norway known for its clear skies and role as a center for astronomical observations.
  • B. Kong Oscar Fjord
    Kong Oscar Fjord is a large fjord system in eastern Greenland known for its dramatic Arctic landscapes and significant geological exposures.
  • C. Hadsel
    Hadsel is a coastal municipality in Nordland county, Norway, known for encompassing several islands in the Vesterålen archipelago, including parts of Hadseløya, Langøya, and Austvågøya.
  • D. MS Trollfjord
    MS Trollfjord is a Norwegian coastal cruise ship operated by Hurtigruten, known for sailing the scenic routes along Norway’s coastline.
  • E. Hisingen
    Hisingen is a large island and district in Gothenburg, Sweden, known for its industrial areas, shipyards, and rapidly developing residential and tech hubs.
  • 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: Skibotnelva
Triple: [Skibotn, locatedAtMouthOf, Skibotnelva]
Generated description
Skibotnelva is a river in northern Norway that flows into the village of Skibotn in Troms og Finnmark county.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Skibotnelva
Target entity description: Skibotnelva is a river in northern Norway that flows into the village of Skibotn in Troms og Finnmark county.
  • A. Skibotn chosen
    Skibotn is a small village in northern Norway known for its clear skies and role as a center for astronomical observations.
  • B. Kong Oscar Fjord
    Kong Oscar Fjord is a large fjord system in eastern Greenland known for its dramatic Arctic landscapes and significant geological exposures.
  • C. Hadsel
    Hadsel is a coastal municipality in Nordland county, Norway, known for encompassing several islands in the Vesterålen archipelago, including parts of Hadseløya, Langøya, and Austvågøya.
  • D. MS Trollfjord
    MS Trollfjord is a Norwegian coastal cruise ship operated by Hurtigruten, known for sailing the scenic routes along Norway’s coastline.
  • E. Hisingen
    Hisingen is a large island and district in Gothenburg, Sweden, known for its industrial areas, shipyards, and rapidly developing residential and tech hubs.
  • F. None of above.

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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e05030e31081908c307a8dc7067db4 completed April 16, 2026, 2:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff876d48588190afec7722cca25633 completed May 9, 2026, 7:13 p.m.
NEDg Description generation batch_69ff8b6c44d081908e35ca17b5ce2189 completed May 9, 2026, 7:30 p.m.
NED2 Entity disambiguation (via description) batch_69ff8ca1c1f08190aeb6f7421d54c2de completed May 9, 2026, 7:36 p.m.
Created at: April 10, 2026, 4:47 a.m.