Triple

T9812694
Position Surface form Disambiguated ID Type / Status
Subject Hälsingland E238313 entity
Predicate hasMainRiver P165 FINISHED
Object Dellån
Dellån is a river in the Swedish province of Hälsingland, known for flowing through forested landscapes and contributing to the region’s natural and cultural character.
 E823230 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: Dellån | Statement: [Hälsingland, hasMainRiver, Dellån]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dellån
Context triple: [Hälsingland, hasMainRiver, Dellån]
  • A. Leende
    Leende is a village in the Dutch province of North Brabant, historically part of the baronial estate of Heeze, Leende and Zesgehuchten.
  • B. Danko
    Danko is a surname most notably associated with Rick Danko, the Canadian musician and bassist for the influential rock group The Band.
  • C. The Debt
    The Debt is a film associated with John Madden, best known as a director of character-driven dramas and thrillers.
  • D. Dellner
    Dellner is a company specializing in railway coupling and connection systems used on modern passenger and freight trains worldwide.
  • E. Dallet
    Dallet is a French surname most notably associated with Joseph Dallet Jr., an American communist activist who fought and died in the Spanish Civil War.
  • 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: Dellån
Triple: [Hälsingland, hasMainRiver, Dellån]
Generated description
Dellån is a river in the Swedish province of Hälsingland, known for flowing through forested landscapes and contributing to the region’s natural and cultural character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dellån
Target entity description: Dellån is a river in the Swedish province of Hälsingland, known for flowing through forested landscapes and contributing to the region’s natural and cultural character.
  • A. Leende
    Leende is a village in the Dutch province of North Brabant, historically part of the baronial estate of Heeze, Leende and Zesgehuchten.
  • B. Danko
    Danko is a surname most notably associated with Rick Danko, the Canadian musician and bassist for the influential rock group The Band.
  • C. The Debt
    The Debt is a film associated with John Madden, best known as a director of character-driven dramas and thrillers.
  • D. Dellner
    Dellner is a company specializing in railway coupling and connection systems used on modern passenger and freight trains worldwide.
  • E. Dallet
    Dallet is a French surname most notably associated with Joseph Dallet Jr., an American communist activist who fought and died in the Spanish Civil War.
  • 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_69ca84defac48190abc1148804f184c1 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb222ba788190a9085272a3de7852 completed April 2, 2026, 12:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc63c450819091e57030a48e7d88 completed April 5, 2026, 2:43 a.m.
NEDg Description generation batch_69d1cce3d9d481909eaf7278dfe20955 completed April 5, 2026, 2:45 a.m.
NED2 Entity disambiguation (via description) batch_69d1cd5d1670819085c58ff8889318af completed April 5, 2026, 2:47 a.m.
Created at: March 30, 2026, 8:30 p.m.