Triple

T19068708
Position Surface form Disambiguated ID Type / Status
Subject Gudbrandsdalsost E466733 entity
Predicate marketedAs P1395 FINISHED
Object Brunost
Brunost is a traditional Norwegian brown whey cheese known for its caramel-like flavor and fudge-like texture.
 E1357478 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: Brunost | Statement: [Gudbrandsdalsost, marketedAs, Brunost]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Brunost
Context triple: [Gudbrandsdalsost, marketedAs, Brunost]
  • A. Big Lug
    Big Lug is the costumed mascot character for the Lansing Lugnuts minor league baseball team, known for entertaining fans at games and community events.
  • B. Banzi
    Banzi is a town in the Basilicata region of southern Italy, known as the modern site near the ancient Lucanian city of Bantia.
  • C. Keeble
    Keeble is a fictional aristocratic surname most notably associated with Lady Constance Keeble in P. G. Wodehouse’s Blandings Castle stories.
  • D. Tobo
    Tobo is a small locality in eastern Sweden situated within Tierp Municipality in Uppsala County.
  • E. Bronko
    Bronko is the nickname of Bronko Nagurski, a legendary National Football League fullback and professional wrestler known for his power and toughness in the 1930s.
  • 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: Brunost
Triple: [Gudbrandsdalsost, marketedAs, Brunost]
Generated description
Brunost is a traditional Norwegian brown whey cheese known for its caramel-like flavor and fudge-like texture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Brunost
Target entity description: Brunost is a traditional Norwegian brown whey cheese known for its caramel-like flavor and fudge-like texture.
  • A. Big Lug
    Big Lug is the costumed mascot character for the Lansing Lugnuts minor league baseball team, known for entertaining fans at games and community events.
  • B. Banzi
    Banzi is a town in the Basilicata region of southern Italy, known as the modern site near the ancient Lucanian city of Bantia.
  • C. Keeble
    Keeble is a fictional aristocratic surname most notably associated with Lady Constance Keeble in P. G. Wodehouse’s Blandings Castle stories.
  • D. Tobo
    Tobo is a small locality in eastern Sweden situated within Tierp Municipality in Uppsala County.
  • E. Bronko
    Bronko is the nickname of Bronko Nagurski, a legendary National Football League fullback and professional wrestler known for his power and toughness in the 1930s.
  • 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_69d8dd04f4488190b1121cc53ef2bfd6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e19b94d08190865b62d98f718bb0 completed April 20, 2026, 8:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05d35a706c8190a658d1b145db8a31 completed May 14, 2026, 1:51 p.m.
NEDg Description generation batch_6a05d68590c88190a17da95cc59869e2 completed May 14, 2026, 2:04 p.m.
NED2 Entity disambiguation (via description) batch_6a05d724aa948190876a09d6cc264dee completed May 14, 2026, 2:07 p.m.
Created at: April 10, 2026, 12:03 p.m.