Triple

T13768639
Position Surface form Disambiguated ID Type / Status
Subject Tjeldsund E330816 entity
Predicate formedByMergerOf P77 FINISHED
Object Skånland
Skånland was a former municipality in Troms county, Norway, known for its coastal landscapes and small communities before being merged into Tjeldsund.
E1060750 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: Skånland | Statement: [Tjeldsund, formedByMergerOf, Skånland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skånland
Context triple: [Tjeldsund, formedByMergerOf, Skånland]
  • A. Skåneland
    Skåneland is a historical region in southern Scandinavia encompassing the provinces around present-day Skåne, known for its shifting rule between Denmark and Sweden and its central role in medieval Nordic history.
  • B. Vestlandet
    Vestlandet is the western region of Norway, known for its dramatic fjords, mountains, and coastal landscapes.
  • C. Hälsingland
    Hälsingland is a historical province in central Sweden known for its traditional decorated farmhouses, forests, and cultural heritage.
  • D. Himmerland
    Himmerland is a large peninsula in northern Jutland, Denmark, known for its rural landscapes, coastal areas, and small towns.
  • E. Lillebælt
    Lillebælt is the narrow strait in Denmark that separates the Jutland Peninsula from the island of Funen and connects the Baltic Sea to the Kattegat.
  • 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: Skånland
Triple: [Tjeldsund, formedByMergerOf, Skånland]
Generated description
Skånland was a former municipality in Troms county, Norway, known for its coastal landscapes and small communities before being merged into Tjeldsund.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Skånland
Target entity description: Skånland was a former municipality in Troms county, Norway, known for its coastal landscapes and small communities before being merged into Tjeldsund.
  • A. Skåneland
    Skåneland is a historical region in southern Scandinavia encompassing the provinces around present-day Skåne, known for its shifting rule between Denmark and Sweden and its central role in medieval Nordic history.
  • B. Vestlandet
    Vestlandet is the western region of Norway, known for its dramatic fjords, mountains, and coastal landscapes.
  • C. Hälsingland
    Hälsingland is a historical province in central Sweden known for its traditional decorated farmhouses, forests, and cultural heritage.
  • D. Himmerland
    Himmerland is a large peninsula in northern Jutland, Denmark, known for its rural landscapes, coastal areas, and small towns.
  • E. Lillebælt
    Lillebælt is the narrow strait in Denmark that separates the Jutland Peninsula from the island of Funen and connects the Baltic Sea to the Kattegat.
  • 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_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0233ecc48190b934f085d2501eb1 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b0724ab481908448d71a1bd02253 completed May 3, 2026, 8:30 p.m.
NEDg Description generation batch_69f7b0f912f081908084042860c922cb completed May 3, 2026, 8:32 p.m.
NED2 Entity disambiguation (via description) batch_69f7b16a43188190968d5cdf32e447ec completed May 3, 2026, 8:34 p.m.
Created at: April 9, 2026, 10:10 p.m.