Triple

T18277791
Position Surface form Disambiguated ID Type / Status
Subject Saint-Cergue E437782 entity
Predicate hasLocality P7943 FINISHED
Object La Cézille
La Cézille is a small locality within the Swiss municipality of Saint-Cergue in the canton of Vaud.
 E1315253 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 Cézille | Statement: [Saint-Cergue, hasLocality, La Cézille]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: La Cézille
Context triple: [Saint-Cergue, hasLocality, La Cézille]
  • A. La Bessiere
    La Bessiere is a key character in the 1930 romantic drama film "Morocco," involved in the central love triangle alongside the leads.
  • B. Le Falgoux
    Le Falgoux is a small rural commune in the Cantal department of south-central France, nestled in the Auvergne volcanic mountains.
  • C. La Comtoise
    La Comtoise is a major French motorway (the A36) that links the regions of Burgundy and Franche-Comté, serving as an important east–west route in eastern France.
  • D. La Basoche
    La Basoche is an opéra-comique by André Messager, first performed in 1890 and known for its lively score and humorous depiction of medieval Parisian law clerks.
  • E. La Sablonière
    La Sablonière is one of the small islets within the Les Écréhous reef and island group off the coast of Jersey in the Channel Islands.
  • 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 Cézille
Triple: [Saint-Cergue, hasLocality, La Cézille]
Generated description
La Cézille is a small locality within the Swiss municipality of Saint-Cergue in the canton of Vaud.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: La Cézille
Target entity description: La Cézille is a small locality within the Swiss municipality of Saint-Cergue in the canton of Vaud.
  • A. La Bessiere
    La Bessiere is a key character in the 1930 romantic drama film "Morocco," involved in the central love triangle alongside the leads.
  • B. Le Falgoux
    Le Falgoux is a small rural commune in the Cantal department of south-central France, nestled in the Auvergne volcanic mountains.
  • C. La Comtoise
    La Comtoise is a major French motorway (the A36) that links the regions of Burgundy and Franche-Comté, serving as an important east–west route in eastern France.
  • D. La Basoche
    La Basoche is an opéra-comique by André Messager, first performed in 1890 and known for its lively score and humorous depiction of medieval Parisian law clerks.
  • E. La Sablonière
    La Sablonière is one of the small islets within the Les Écréhous reef and island group off the coast of Jersey in the Channel Islands.
  • 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_69d8b914530c8190b4474d862a2b2a1b completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50053cc808190b46a3ec9d96936fe completed April 19, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03b3ffe1508190948d41bed9853a3e completed May 12, 2026, 11:13 p.m.
NEDg Description generation batch_6a03b4bb6ae48190a68c2a3314f0d3ba completed May 12, 2026, 11:16 p.m.
NED2 Entity disambiguation (via description) batch_6a03b56958a0819088613a9726c71819 completed May 12, 2026, 11:19 p.m.
Created at: April 10, 2026, 10:34 a.m.