Triple

T17600327
Position Surface form Disambiguated ID Type / Status
Subject canton of Saint-Affrique E428680 entity
Predicate contains P35 FINISHED
Object Sylvanès
Sylvanès is a small rural commune in the Aveyron department of southern France, known for its historic abbey and cultural events.
 E1278278 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: Sylvanès | Statement: [canton of Saint-Affrique, contains, Sylvanès]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sylvanès
Context triple: [canton of Saint-Affrique, contains, Sylvanès]
  • A. Alès
    Alès is a historic industrial town in southern France, located at the foot of the Cévennes mountains.
  • B. Abriès
    Abriès is a small alpine commune in southeastern France, known for its scenic location in the Queyras valley near the Italian border and its outdoor mountain activities.
  • C. Planguenoual
    Planguenoual is a coastal commune in the Côtes-d'Armor department of Brittany in northwestern France.
  • D. Vidourle
    Vidourle is a river in southern France that flows through the Gard department before emptying into the Mediterranean Sea.
  • E. Méautis
    Méautis is a small commune in the Manche department of Normandy in northwestern France, known for its rural landscape and World War II history.
  • 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: Sylvanès
Triple: [canton of Saint-Affrique, contains, Sylvanès]
Generated description
Sylvanès is a small rural commune in the Aveyron department of southern France, known for its historic abbey and cultural events.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sylvanès
Target entity description: Sylvanès is a small rural commune in the Aveyron department of southern France, known for its historic abbey and cultural events.
  • A. Alès
    Alès is a historic industrial town in southern France, located at the foot of the Cévennes mountains.
  • B. Abriès
    Abriès is a small alpine commune in southeastern France, known for its scenic location in the Queyras valley near the Italian border and its outdoor mountain activities.
  • C. Planguenoual
    Planguenoual is a coastal commune in the Côtes-d'Armor department of Brittany in northwestern France.
  • D. Vidourle
    Vidourle is a river in southern France that flows through the Gard department before emptying into the Mediterranean Sea.
  • E. Méautis
    Méautis is a small commune in the Manche department of Normandy in northwestern France, known for its rural landscape and World War II history.
  • 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_69d889e1c6148190ba76241e74688f8b completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46c4812d48190bf8e899fa8f7fbe4 completed April 19, 2026, 5:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01e81b951c81908969e6d2f952efc4 completed May 11, 2026, 2:30 p.m.
NEDg Description generation batch_6a01ef0a9fb48190ac9d38f027ceb728 completed May 11, 2026, 3 p.m.
NED2 Entity disambiguation (via description) batch_6a01ef87c62c8190b9a3cd936542d7b4 completed May 11, 2026, 3:02 p.m.
Created at: April 10, 2026, 5:51 a.m.