Triple

T1451786
Position Surface form Disambiguated ID Type / Status
Subject Puplinge E31306 entity
Predicate borderWith P224 FINISHED
Object Choulex
Choulex is a small municipality in the canton of Geneva in southwestern Switzerland, known for its rural character and proximity to the city of Geneva.
 E168322 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: Choulex | Statement: [Puplinge, borderWith, Choulex]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Choulex
Context triple: [Puplinge, borderWith, Choulex]
  • A. Choully
    Choully is a small wine-producing village in the commune of Satigny in the canton of Geneva, Switzerland.
  • B. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • C. Bernardin
    Bernardin is a well-known brand specializing in home canning and preserving supplies, particularly mason jars, lids, and related accessories.
  • D. Pontcharra
    Pontcharra is a small French commune in the Isère department of southeastern France, situated in the Grésivaudan valley between Grenoble and Chambéry.
  • E. Cornillon
    Cornillon is a commune-level town located in Haiti’s Ouest 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: Choulex
Triple: [Puplinge, borderWith, Choulex]
Generated description
Choulex is a small municipality in the canton of Geneva in southwestern Switzerland, known for its rural character and proximity to the city of Geneva.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Choulex
Target entity description: Choulex is a small municipality in the canton of Geneva in southwestern Switzerland, known for its rural character and proximity to the city of Geneva.
  • A. Choully
    Choully is a small wine-producing village in the commune of Satigny in the canton of Geneva, Switzerland.
  • B. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • C. Bernardin
    Bernardin is a well-known brand specializing in home canning and preserving supplies, particularly mason jars, lids, and related accessories.
  • D. Pontcharra
    Pontcharra is a small French commune in the Isère department of southeastern France, situated in the Grésivaudan valley between Grenoble and Chambéry.
  • E. Cornillon
    Cornillon is a commune-level town located in Haiti’s Ouest 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_69a499171a28819085b993a3ac78e363 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c57bc0908190a57e6bc3d20d5e3c completed March 1, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad15a0adb0819096c560e8aa317016 completed March 8, 2026, 6:22 a.m.
NEDg Description generation batch_69ad167e85488190be549df90e892fed completed March 8, 2026, 6:26 a.m.
NED2 Entity disambiguation (via description) batch_69ad16c8df5c819089809f2eee6f27ee completed March 8, 2026, 6:27 a.m.
Created at: March 1, 2026, 8 p.m.