Triple

T9558068
Position Surface form Disambiguated ID Type / Status
Subject Broye district (Fribourg) E230592 entity
Predicate containsPart P35 FINISHED
Object Sévaz
Sévaz is a small municipality in the canton of Fribourg in western Switzerland.
 E806464 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: Sévaz | Statement: [Broye district (Fribourg), containsPart, Sévaz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sévaz
Context triple: [Broye district (Fribourg), containsPart, Sévaz]
  • A. Demerdzhi
    Demerdzhi is a notable mountain massif in Crimea, famous for its striking rock formations and scenic landscapes.
  • B. Sedova
    Sedova is a Russian surname most notably associated with revolutionary figure Natalia Sedova, the second wife of Leon Trotsky.
  • C. Sesia
    The Sesia is a river in northwestern Italy that flows through the Piedmont region before joining the Po River.
  • D. Sosva
    Sosva is a rural locality in Sverdlovsk Oblast, Russia, historically known as the site of a Soviet-era labor camp where Finnish communist leader Kullervo Manner died.
  • E. Vézina
    Vézina is a French-Canadian surname most famously associated with Georges Vézina, the legendary early 20th-century ice hockey goaltender and namesake of the NHL’s Vezina Trophy.
  • 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: Sévaz
Triple: [Broye district (Fribourg), containsPart, Sévaz]
Generated description
Sévaz is a small municipality in the canton of Fribourg in western Switzerland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sévaz
Target entity description: Sévaz is a small municipality in the canton of Fribourg in western Switzerland.
  • A. Demerdzhi
    Demerdzhi is a notable mountain massif in Crimea, famous for its striking rock formations and scenic landscapes.
  • B. Sedova
    Sedova is a Russian surname most notably associated with revolutionary figure Natalia Sedova, the second wife of Leon Trotsky.
  • C. Sesia
    The Sesia is a river in northwestern Italy that flows through the Piedmont region before joining the Po River.
  • D. Sosva
    Sosva is a rural locality in Sverdlovsk Oblast, Russia, historically known as the site of a Soviet-era labor camp where Finnish communist leader Kullervo Manner died.
  • E. Vézina
    Vézina is a French-Canadian surname most famously associated with Georges Vézina, the legendary early 20th-century ice hockey goaltender and namesake of the NHL’s Vezina Trophy.
  • 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_69ca847e53a88190a60eed7e02257f10 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd99487b4c819086e02e29e37b593f completed April 1, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69d15296303c8190adda4b24036d9390 completed April 4, 2026, 6:04 p.m.
NEDg Description generation batch_69d1539bad8481909f9bd060aa3b651c completed April 4, 2026, 6:08 p.m.
NED2 Entity disambiguation (via description) batch_69d154567f408190a848eea4ca905fb6 completed April 4, 2026, 6:11 p.m.
Created at: March 30, 2026, 8:03 p.m.