Triple

T9684350
Position Surface form Disambiguated ID Type / Status
Subject Glâne District E234366 entity
Predicate containsMunicipality P852 FINISHED
Object Siviriez
Siviriez is a municipality in the canton of Fribourg in western Switzerland, situated within the predominantly rural Glâne region.
E815275 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: Siviriez | Statement: [Glâne District, containsMunicipality, Siviriez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Siviriez
Context triple: [Glâne District, containsMunicipality, Siviriez]
  • A. Sauvestre
    Sauvestre is a French surname most notably associated with architect Stephen Sauvestre, who contributed to the design of the Eiffel Tower.
  • B. Juvisiennes
    Juvisiennes are the female inhabitants or natives of the French commune of Juvisy-sur-Orge, located in the southern suburbs of Paris.
  • C. Sivorg
    Sivorg was a clandestine Norwegian resistance organization during World War II that coordinated civilian opposition and underground activities against the German occupation.
  • D. Viarmes
    Viarmes is a small commune in the northern suburbs of Paris, located in the Val-d'Oise department in the Île-de-France region of France.
  • E. Voueize
    Voueize is a river in central France that flows through the commune of Chambon-sur-Voueize in the Creuse department.
  • 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: Siviriez
Triple: [Glâne District, containsMunicipality, Siviriez]
Generated description
Siviriez is a municipality in the canton of Fribourg in western Switzerland, situated within the predominantly rural Glâne region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Siviriez
Target entity description: Siviriez is a municipality in the canton of Fribourg in western Switzerland, situated within the predominantly rural Glâne region.
  • A. Sauvestre
    Sauvestre is a French surname most notably associated with architect Stephen Sauvestre, who contributed to the design of the Eiffel Tower.
  • B. Juvisiennes
    Juvisiennes are the female inhabitants or natives of the French commune of Juvisy-sur-Orge, located in the southern suburbs of Paris.
  • C. Sivorg
    Sivorg was a clandestine Norwegian resistance organization during World War II that coordinated civilian opposition and underground activities against the German occupation.
  • D. Viarmes
    Viarmes is a small commune in the northern suburbs of Paris, located in the Val-d'Oise department in the Île-de-France region of France.
  • E. Voueize
    Voueize is a river in central France that flows through the commune of Chambon-sur-Voueize in the Creuse department.
  • 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_69ca84c99e34819092e5563a7106cfca completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9ccf21a08190a1302b933b9e50be completed April 1, 2026, 10:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19106e67881909505287620d2f781 completed April 4, 2026, 10:30 p.m.
NEDg Description generation batch_69d19375fd8481909620e8e68d73ec17 completed April 4, 2026, 10:40 p.m.
NED2 Entity disambiguation (via description) batch_69d19416efd48190865d0178e5e893fa completed April 4, 2026, 10:43 p.m.
Created at: March 30, 2026, 8:16 p.m.