Triple

T2445418
Position Surface form Disambiguated ID Type / Status
Subject Bernex E53379 entity
Predicate hasLocality P7943 FINISHED
Object Bernex-Village
Bernex-Village is a locality within the municipality of Bernex in the canton of Geneva, Switzerland, known for its village character and residential setting.
 E288891 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: Bernex-Village | Statement: [Bernex, hasLocality, Bernex-Village]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bernex-Village
Context triple: [Bernex, hasLocality, Bernex-Village]
  • A. Saint-Prex
    Saint-Prex is a picturesque medieval town on the shores of Lake Geneva in the canton of Vaud, Switzerland, known for its historic old town and lakeside setting.
  • B. Delémont
    Delémont is a historic town in northwestern Switzerland that serves as the capital of the canton of Jura.
  • C. Hermance
    Hermance is a small lakeside municipality on the shores of Lake Geneva in southwestern Switzerland.
  • D. Satigny
    Satigny is a Swiss municipality in the canton of Geneva, known for being one of the country’s largest wine-producing communes.
  • E. Affoltern
    Affoltern is a district of Zurich, Switzerland, known as a largely residential area on the western side of the city.
  • 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: Bernex-Village
Triple: [Bernex, hasLocality, Bernex-Village]
Generated description
Bernex-Village is a locality within the municipality of Bernex in the canton of Geneva, Switzerland, known for its village character and residential setting.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bernex-Village
Target entity description: Bernex-Village is a locality within the municipality of Bernex in the canton of Geneva, Switzerland, known for its village character and residential setting.
  • A. Saint-Prex
    Saint-Prex is a picturesque medieval town on the shores of Lake Geneva in the canton of Vaud, Switzerland, known for its historic old town and lakeside setting.
  • B. Delémont
    Delémont is a historic town in northwestern Switzerland that serves as the capital of the canton of Jura.
  • C. Hermance
    Hermance is a small lakeside municipality on the shores of Lake Geneva in southwestern Switzerland.
  • D. Satigny
    Satigny is a Swiss municipality in the canton of Geneva, known for being one of the country’s largest wine-producing communes.
  • E. Affoltern
    Affoltern is a district of Zurich, Switzerland, known as a largely residential area on the western side of the city.
  • 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_69ab495b6dac8190ac82661aa1452222 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abca23ebe8819099a579a07c1bb708 completed March 7, 2026, 6:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69afa04046cc81908876e639d2144d8f completed March 10, 2026, 4:38 a.m.
NEDg Description generation batch_69afa180fadc8190b376687c8afb1748 completed March 10, 2026, 4:43 a.m.
NED2 Entity disambiguation (via description) batch_69afa2172bc881908e17ab0eb3f9bb08 completed March 10, 2026, 4:46 a.m.
Created at: March 6, 2026, 9:43 p.m.