Triple

T8689007
Position Surface form Disambiguated ID Type / Status
Subject Bergerac E206236 entity
Predicate hasSubregion P285 FINISHED
Object Montravel
Montravel is a French wine appellation in the Bergerac region of southwest France, known for producing both red and white wines.
 E752257 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: Montravel | Statement: [Bergerac, hasSubregion, Montravel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Montravel
Context triple: [Bergerac, hasSubregion, Montravel]
  • A. Panazol
    Panazol is a suburban commune in west-central France, located just east of the city of Limoges in the Nouvelle-Aquitaine region.
  • B. Opekta
    Opekta was a German-Dutch company that produced and sold pectin-based gelling agents for making jam, notably managed in its Amsterdam branch by Anne Frank’s father, Otto Frank.
  • C. Listerine
    Listerine is a widely used antiseptic mouthwash brand known for its strong flavor and plaque- and germ-fighting oral care products.
  • D. Plaxtol
    Plaxtol is a small rural village and civil parish in Kent, England, known for its historic buildings and surrounding countryside.
  • E. Auscitain
    An Auscitain is a resident or native of Auch, a historic town in the Occitanie region of southwestern France.
  • 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: Montravel
Triple: [Bergerac, hasSubregion, Montravel]
Generated description
Montravel is a French wine appellation in the Bergerac region of southwest France, known for producing both red and white wines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Montravel
Target entity description: Montravel is a French wine appellation in the Bergerac region of southwest France, known for producing both red and white wines.
  • A. Panazol
    Panazol is a suburban commune in west-central France, located just east of the city of Limoges in the Nouvelle-Aquitaine region.
  • B. Opekta
    Opekta was a German-Dutch company that produced and sold pectin-based gelling agents for making jam, notably managed in its Amsterdam branch by Anne Frank’s father, Otto Frank.
  • C. Listerine
    Listerine is a widely used antiseptic mouthwash brand known for its strong flavor and plaque- and germ-fighting oral care products.
  • D. Plaxtol
    Plaxtol is a small rural village and civil parish in Kent, England, known for its historic buildings and surrounding countryside.
  • E. Auscitain
    An Auscitain is a resident or native of Auch, a historic town in the Occitanie region of southwestern France.
  • 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.