Triple

T12487899
Position Surface form Disambiguated ID Type / Status
Subject Charente E298483 entity
Predicate contains P35 FINISHED
Object Ruffec
Ruffec is a small commune and town in southwestern France known for its historic architecture and location in the Charente department of the Nouvelle-Aquitaine region.
 E1017275 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: Ruffec | Statement: [Charente, contains, Ruffec]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ruffec
Context triple: [Charente, contains, Ruffec]
  • A. Tiffauges
    Tiffauges is a historic commune in western France, known for its medieval castle and scenic setting along the Sèvre Nantaise river.
  • B. Douaumont
    Douaumont is a small commune in northeastern France best known for its World War I battlefield sites near Verdun, including major memorials and military cemeteries.
  • C. Fallières
    Fallières is a French surname most notably borne by Armand Fallières, who served as President of France in the early 20th century.
  • D. Régnié
    Régnié is a French red wine appellation and one of the ten Beaujolais crus, known for its fruity, aromatic Gamay-based wines.
  • E. Lubersac
    Lubersac is a small commune in the Corrèze department of south-central France, known for its rural character and traditional Limousin heritage.
  • 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: Ruffec
Triple: [Charente, contains, Ruffec]
Generated description
Ruffec is a small commune and town in southwestern France known for its historic architecture and location in the Charente department of the Nouvelle-Aquitaine region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ruffec
Target entity description: Ruffec is a small commune and town in southwestern France known for its historic architecture and location in the Charente department of the Nouvelle-Aquitaine region.
  • A. Tiffauges
    Tiffauges is a historic commune in western France, known for its medieval castle and scenic setting along the Sèvre Nantaise river.
  • B. Douaumont
    Douaumont is a small commune in northeastern France best known for its World War I battlefield sites near Verdun, including major memorials and military cemeteries.
  • C. Fallières
    Fallières is a French surname most notably borne by Armand Fallières, who served as President of France in the early 20th century.
  • D. Régnié
    Régnié is a French red wine appellation and one of the ten Beaujolais crus, known for its fruity, aromatic Gamay-based wines.
  • E. Lubersac
    Lubersac is a small commune in the Corrèze department of south-central France, known for its rural character and traditional Limousin heritage.
  • 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_69d6ada377208190a36011199a4d8558 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94de077bc81908b5ff057a1bf2b4f completed April 10, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbb096d881908dfd2a7126632d96 completed May 3, 2026, 4:14 a.m.
NEDg Description generation batch_69f6cd3d5090819091b65f544ad139fd completed May 3, 2026, 4:21 a.m.
NED2 Entity disambiguation (via description) batch_69f6cdc8d52c819083717a455d589646 completed May 3, 2026, 4:23 a.m.
Created at: April 8, 2026, 9:56 p.m.