Triple

T13506194
Position Surface form Disambiguated ID Type / Status
Subject arrondissement of Saint-Julien-en-Genevois E321019 entity
Predicate contains P35 FINISHED
Object Ballaison
Ballaison is a small commune in the Haute-Savoie department of southeastern France, near the Swiss border and Lake Geneva.
E1045839 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: Ballaison | Statement: [arrondissement of Saint-Julien-en-Genevois, contains, Ballaison]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ballaison
Context triple: [arrondissement of Saint-Julien-en-Genevois, contains, Ballaison]
  • A. Baleese
    Baleese is a regional dialect of the Istriot language traditionally spoken in parts of the Istrian peninsula.
  • B. Chausy
    Chausy is a small town in eastern Belarus known for its historical role in regional trade and its location within the Mogilev Region.
  • C. Bihorel
    Bihorel is a suburban commune in northern France, located near Rouen and integrated into its public transport network.
  • D. Budorcas
    Budorcas is a genus of large, goat-antelope-like mammals best known for the takin, a robust, shaggy ungulate native to the mountainous regions of Asia.
  • E. Balair
    Balair was a Swiss charter airline that operated primarily leisure and holiday flights, and later became part of the Swissair Group.
  • 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: Ballaison
Triple: [arrondissement of Saint-Julien-en-Genevois, contains, Ballaison]
Generated description
Ballaison is a small commune in the Haute-Savoie department of southeastern France, near the Swiss border and Lake Geneva.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ballaison
Target entity description: Ballaison is a small commune in the Haute-Savoie department of southeastern France, near the Swiss border and Lake Geneva.
  • A. Baleese
    Baleese is a regional dialect of the Istriot language traditionally spoken in parts of the Istrian peninsula.
  • B. Chausy
    Chausy is a small town in eastern Belarus known for its historical role in regional trade and its location within the Mogilev Region.
  • C. Bihorel
    Bihorel is a suburban commune in northern France, located near Rouen and integrated into its public transport network.
  • D. Budorcas
    Budorcas is a genus of large, goat-antelope-like mammals best known for the takin, a robust, shaggy ungulate native to the mountainous regions of Asia.
  • E. Balair
    Balair was a Swiss charter airline that operated primarily leisure and holiday flights, and later became part of the Swissair Group.
  • 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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf8259a08190ada13c4a3078f07d completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7548bc188819090773db66b0103a1 completed May 3, 2026, 1:58 p.m.
NEDg Description generation batch_69f758a55ddc81909298a37f6ce88236 completed May 3, 2026, 2:16 p.m.
NED2 Entity disambiguation (via description) batch_69f7593d74cc819099c5d39ae09c3f70 completed May 3, 2026, 2:18 p.m.
Created at: April 9, 2026, 9:43 p.m.