Triple

T22776130
Position Surface form Disambiguated ID Type / Status
Subject 1963 Geneva Motor Show E563703 entity
Predicate hostedBy P613 FINISHED
Object city of Geneva NE NERFINISHED

How this triple was built (2 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: city of Geneva | Statement: [1963 Geneva Motor Show, hostedBy, city of Geneva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Geneva
Context triple: [1963 Geneva Motor Show, hostedBy, city of Geneva]
  • A. 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.
  • B. 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.
  • C. 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.
  • D. Municipality of Geneva
    The Municipality of Geneva is the local government authority responsible for administering the city of Geneva, Switzerland, including its various districts and neighborhoods.
  • E. Geneva and Lausanne
    Geneva and Lausanne are two major Swiss cities on the shores of Lake Geneva, known respectively as a global diplomatic hub and a cultural and educational center.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24554497c819080b996e071de27c2 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17b61acf881909d9f54e0966ee3cc completed April 29, 2026, 3:30 a.m.
Created at: April 17, 2026, 3:28 p.m.