Triple

T16160677
Position Surface form Disambiguated ID Type / Status
Subject City of Sion E392167 entity
Predicate isConnectedTo P845 FINISHED
Object Geneva
Geneva is a major Swiss city on the shores of Lake Geneva, known as a global center for diplomacy, finance, and international organizations such as the United Nations and the Red Cross.
 E414 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: Geneva | Statement: [City of Sion, isConnectedTo, Geneva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Geneva
Context triple: [City of Sion, isConnectedTo, Geneva]
  • A. Geneva
    Geneva is a major Swiss city on Lake Geneva known for hosting numerous international organizations, including United Nations agencies and the Red Cross.
  • B. Geneva
    Geneva is a small city in northeastern Ohio situated along Lake Erie, known for its wineries, tourism, and location within the Rust Belt region.
  • C. Geneva
    Geneva is a small city in New York's Finger Lakes region, known for its lakeside setting on Seneca Lake and its historic colleges and wineries.
  • D. Berne
    Berne is the de facto capital city of Switzerland and the seat of its federal government institutions.
  • E. Lausanne
    Lausanne is a major Swiss city on the shores of Lake Geneva, known for hosting the International Olympic Committee and its vibrant cultural and academic institutions.
  • 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: Geneva
Triple: [City of Sion, isConnectedTo, Geneva]
Generated description
Geneva is a major Swiss city on the shores of Lake Geneva, known as a global center for diplomacy, finance, and international organizations such as the United Nations and the Red Cross.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Geneva
Target entity description: Geneva is a major Swiss city on the shores of Lake Geneva, known as a global center for diplomacy, finance, and international organizations such as the United Nations and the Red Cross.
  • A. Geneva chosen
    Geneva is a major Swiss city on Lake Geneva known for hosting numerous international organizations, including United Nations agencies and the Red Cross.
  • B. Geneva
    Geneva is a small city in northeastern Ohio situated along Lake Erie, known for its wineries, tourism, and location within the Rust Belt region.
  • C. Geneva
    Geneva is a small city in New York's Finger Lakes region, known for its lakeside setting on Seneca Lake and its historic colleges and wineries.
  • D. Berne
    Berne is the de facto capital city of Switzerland and the seat of its federal government institutions.
  • E. Lausanne
    Lausanne is a major Swiss city on the shores of Lake Geneva, known for hosting the International Olympic Committee and its vibrant cultural and academic institutions.
  • F. None of above.

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_69d87f1d32208190942e4e499a80c18c completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21e5f0cb48190aae995d88382e055 completed April 17, 2026, 11:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff78dab488190a89b9eb4f648b36c completed May 10, 2026, 3:12 a.m.
NEDg Description generation batch_69fffb6d9f90819095c5d1a70b5c90a3 completed May 10, 2026, 3:28 a.m.
NED2 Entity disambiguation (via description) batch_69fffbc0376c8190a9cae5dc3d941471 completed May 10, 2026, 3:30 a.m.
Created at: April 10, 2026, 5:01 a.m.