Triple

T8689006
Position Surface form Disambiguated ID Type / Status
Subject Bergerac E206236 entity
Predicate hasSubregion P285 FINISHED
Object Rosette
Rosette is a small wine-producing appellation in the Bergerac region of southwestern France, known primarily for its sweet white wines.
 E752256 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: Rosette | Statement: [Bergerac, hasSubregion, Rosette]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rosette
Context triple: [Bergerac, hasSubregion, Rosette]
  • A. Rowetta
    Rowetta is an English singer best known as the powerful-voiced female vocalist for the Madchester band Happy Mondays.
  • B. La Rosalie
    La Rosalie is a 19th-century French melody that later served as the musical basis for Malaysia’s national anthem, "Negaraku."
  • C. Crescent
    Crescent is a long-distance Amtrak passenger train that runs between New York City and New Orleans, serving major cities along the U.S. East Coast and Deep South.
  • D. Monopteros
    Monopteros is a small, classical-style Greek temple pavilion and popular viewpoint located on a hill within Munich’s Englischer Garten.
  • E. Lozanella
    Lozanella is a small genus of flowering plants in the hemp family Cannabaceae, native to parts of Central and South America.
  • 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: Rosette
Triple: [Bergerac, hasSubregion, Rosette]
Generated description
Rosette is a small wine-producing appellation in the Bergerac region of southwestern France, known primarily for its sweet white wines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rosette
Target entity description: Rosette is a small wine-producing appellation in the Bergerac region of southwestern France, known primarily for its sweet white wines.
  • A. Rowetta
    Rowetta is an English singer best known as the powerful-voiced female vocalist for the Madchester band Happy Mondays.
  • B. La Rosalie
    La Rosalie is a 19th-century French melody that later served as the musical basis for Malaysia’s national anthem, "Negaraku."
  • C. Crescent
    Crescent is a long-distance Amtrak passenger train that runs between New York City and New Orleans, serving major cities along the U.S. East Coast and Deep South.
  • D. Monopteros
    Monopteros is a small, classical-style Greek temple pavilion and popular viewpoint located on a hill within Munich’s Englischer Garten.
  • E. Lozanella
    Lozanella is a small genus of flowering plants in the hemp family Cannabaceae, native to parts of Central and South America.
  • 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_69ca835481fc819084e33d3bc883bfa6 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc57334b0c8190903a5a1784e74791 completed March 31, 2026, 11:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef3d6904c8190a8456a99dae87bf2 completed April 2, 2026, 10:55 p.m.
NEDg Description generation batch_69cef56df85c81908cb10aa7d80ce358 completed April 2, 2026, 11:02 p.m.
NED2 Entity disambiguation (via description) batch_69cef6757cd8819082ffc32256b0f86c completed April 2, 2026, 11:06 p.m.
Created at: March 30, 2026, 6:33 p.m.