Triple

T9196111
Position Surface form Disambiguated ID Type / Status
Subject Genève-Eaux-Vives E220711 entity
Predicate fareZone P844 FINISHED
Object unireso network E127786 NE FINISHED

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: unireso network | Statement: [Genève-Eaux-Vives, fareZone, unireso network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: unireso network
Context triple: [Genève-Eaux-Vives, fareZone, unireso network]
  • A. unireso chosen
    unireso is the integrated public transport fare network for the Geneva region, coordinating tickets and tariffs across multiple operators and modes of transport.
  • B. UniBE
    UniBE is the commonly used abbreviation for the University of Bern, a major public research university located in Bern, Switzerland.
  • C. Worldwide Universities Network
    The Worldwide Universities Network is a global alliance of research-intensive universities that collaborate on international education, research, and knowledge exchange.
  • D. UniGe
    UniGe is the commonly used abbreviation for the University of Genoa, a major public research university located in Genoa, Italy.
  • E. Uni
    Uni is the commonly used nickname for University High School in Los Angeles, a public high school known for its diverse student body and long history on the Westside.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca83e7ba70819088b74866d9da2c30 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd87d6460819097234b5dd3f749b4 completed April 1, 2026, 8:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05c36d7208190a593923bad3d18e7 completed April 4, 2026, 12:32 a.m.
Created at: March 30, 2026, 7:25 p.m.