Triple

T12083006
Position Surface form Disambiguated ID Type / Status
Subject Armançon E287728 entity
Predicate hasRightTributary P415 FINISHED
Object Brenne (Yonne)
Brenne (Yonne) is a river in the Yonne department of central France that forms part of the Armançon river system.
 E968115 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: Brenne (Yonne) | Statement: [Armançon, hasRightTributary, Brenne (Yonne)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Brenne (Yonne)
Context triple: [Armançon, hasRightTributary, Brenne (Yonne)]
  • A. Frépillon
    Frépillon is a small commune in the Val-d'Oise department in the Île-de-France region of northern France.
  • B. Boignée
    Boignée is a village that forms one of the municipal sections of the municipality of Sombreffe in the province of Namur, Wallonia, Belgium.
  • C. La Bresse
    La Bresse is a French mountain town in northeastern France known for its ski resort and outdoor activities in the Vosges.
  • D. Vendroux
    Vendroux is the maiden family name of Yvonne de Gaulle, the wife of former French president Charles de Gaulle.
  • E. Préfontaine
    Préfontaine is a Montreal Metro station in the Mercier–Hochelaga-Maisonneuve borough, serving the Green Line of the city’s rapid transit system.
  • 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: Brenne (Yonne)
Triple: [Armançon, hasRightTributary, Brenne (Yonne)]
Generated description
Brenne (Yonne) is a river in the Yonne department of central France that forms part of the Armançon river system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Brenne (Yonne)
Target entity description: Brenne (Yonne) is a river in the Yonne department of central France that forms part of the Armançon river system.
  • A. Frépillon
    Frépillon is a small commune in the Val-d'Oise department in the Île-de-France region of northern France.
  • B. Boignée
    Boignée is a village that forms one of the municipal sections of the municipality of Sombreffe in the province of Namur, Wallonia, Belgium.
  • C. La Bresse
    La Bresse is a French mountain town in northeastern France known for its ski resort and outdoor activities in the Vosges.
  • D. Vendroux
    Vendroux is the maiden family name of Yvonne de Gaulle, the wife of former French president Charles de Gaulle.
  • E. Préfontaine
    Préfontaine is a Montreal Metro station in the Mercier–Hochelaga-Maisonneuve borough, serving the Green Line of the city’s rapid transit system.
  • 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_69d6ab4964708190850585628b287b0c completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915124e4c8190b0264c2a09e3c2f3 completed April 10, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f66509208190b7206e78df41c2fe completed May 2, 2026, 1:04 p.m.
NEDg Description generation batch_69f6022ecf38819080f0eb6a3a815c5b completed May 2, 2026, 1:54 p.m.
NED2 Entity disambiguation (via description) batch_69f606560934819092ba4d4fa162b799 completed May 2, 2026, 2:12 p.m.
Created at: April 8, 2026, 9:48 p.m.