Triple

T862483
Position Surface form Disambiguated ID Type / Status
Subject Jyllands-Posten E18627 entity
Predicate headquartersLocation P62 FINISHED
Object Viby J
Viby J is a suburban district of Aarhus in Denmark known for hosting the headquarters of major institutions and businesses.
 E101868 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: Viby J | Statement: [Jyllands-Posten, headquartersLocation, Viby J]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Viby J
Context triple: [Jyllands-Posten, headquartersLocation, Viby J]
  • A. Jensen
    Jensen is a Scandinavian-origin surname and given name, most commonly associated with Danish and Norwegian patronymic naming traditions.
  • B. Niva
    Niva was a prominent Russian literary and illustrated weekly magazine of the late 19th and early 20th centuries, known for publishing fiction, poetry, and cultural commentary.
  • C. JG 52
    JG 52 was a famed Luftwaffe fighter wing of World War II, notable for including many of Germany’s highest-scoring fighter aces.
  • D. Flying J
    Flying J is a chain of highway travel centers and truck stops in North America, known for providing fuel, food, and amenities for professional drivers and motorists.
  • E. GVB
    GVB is Amsterdam’s primary public transport company, operating the city’s trams, buses, metro, and ferries.
  • 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: Viby J
Triple: [Jyllands-Posten, headquartersLocation, Viby J]
Generated description
Viby J is a suburban district of Aarhus in Denmark known for hosting the headquarters of major institutions and businesses.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Viby J
Target entity description: Viby J is a suburban district of Aarhus in Denmark known for hosting the headquarters of major institutions and businesses.
  • A. Jensen
    Jensen is a Scandinavian-origin surname and given name, most commonly associated with Danish and Norwegian patronymic naming traditions.
  • B. Niva
    Niva was a prominent Russian literary and illustrated weekly magazine of the late 19th and early 20th centuries, known for publishing fiction, poetry, and cultural commentary.
  • C. JG 52
    JG 52 was a famed Luftwaffe fighter wing of World War II, notable for including many of Germany’s highest-scoring fighter aces.
  • D. Flying J
    Flying J is a chain of highway travel centers and truck stops in North America, known for providing fuel, food, and amenities for professional drivers and motorists.
  • E. GVB
    GVB is Amsterdam’s primary public transport company, operating the city’s trams, buses, metro, and ferries.
  • 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_69a4938ce8688190a24bdfef82ba7d21 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac67d4d481909487d3edb3e46936 completed March 1, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7a3c5c15c8190a91eb3746007ebf5 completed March 4, 2026, 3:15 a.m.
NEDg Description generation batch_69a7a613db0881908c14569257c53bb0 completed March 4, 2026, 3:25 a.m.
NED2 Entity disambiguation (via description) batch_69a7a66cc1108190a072cc7d9be2756c completed March 4, 2026, 3:26 a.m.
Created at: March 1, 2026, 7:39 p.m.