Triple

T2767375
Position Surface form Disambiguated ID Type / Status
Subject La Sarraz Congress E61368 entity
Predicate location P40 FINISHED
Object La Sarraz
La Sarraz is a small town in the canton of Vaud, Switzerland, known for its historic castle and role as a cultural and intellectual meeting place.
 E332809 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: La Sarraz | Statement: [La Sarraz Congress, location, La Sarraz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: La Sarraz
Context triple: [La Sarraz Congress, location, La Sarraz]
  • A. Chasseral
    Chasseral is a prominent mountain in the Jura range of western Switzerland, known for its panoramic views and telecommunications installations.
  • B. Saignelégier
    Saignelégier is a municipality in the Swiss canton of Jura known for its rural landscapes, watchmaking heritage, and the annual Marché-Concours horse festival.
  • C. Olbreuse
    Olbreuse is a small locality in western France historically notable as the ancestral seat of the noble d’Olbreuse family.
  • D. Cugny
    Cugny is a locality within the municipality of Bernex in the canton of Geneva, Switzerland.
  • E. Léognan
    Léognan is a renowned wine-producing commune in southwestern France, celebrated for its prestigious red and white Bordeaux wines.
  • 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: La Sarraz
Triple: [La Sarraz Congress, location, La Sarraz]
Generated description
La Sarraz is a small town in the canton of Vaud, Switzerland, known for its historic castle and role as a cultural and intellectual meeting place.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: La Sarraz
Target entity description: La Sarraz is a small town in the canton of Vaud, Switzerland, known for its historic castle and role as a cultural and intellectual meeting place.
  • A. Chasseral
    Chasseral is a prominent mountain in the Jura range of western Switzerland, known for its panoramic views and telecommunications installations.
  • B. Saignelégier
    Saignelégier is a municipality in the Swiss canton of Jura known for its rural landscapes, watchmaking heritage, and the annual Marché-Concours horse festival.
  • C. Olbreuse
    Olbreuse is a small locality in western France historically notable as the ancestral seat of the noble d’Olbreuse family.
  • D. Cugny
    Cugny is a locality within the municipality of Bernex in the canton of Geneva, Switzerland.
  • E. Léognan
    Léognan is a renowned wine-producing commune in southwestern France, celebrated for its prestigious red and white Bordeaux wines.
  • 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_69ab4b7bab6c8190a5c2efef19a8ef34 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd667c4881909aa582c630c8e3ab completed March 7, 2026, 8:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69b23582f3508190a9eb50e11a08d0f5 completed March 12, 2026, 3:39 a.m.
NEDg Description generation batch_69b236962ee48190b37836e5fe6dbc37 completed March 12, 2026, 3:44 a.m.
NED2 Entity disambiguation (via description) batch_69b237397e14819093a7192d28c59ad1 completed March 12, 2026, 3:47 a.m.
Created at: March 6, 2026, 9:57 p.m.