Triple

T10692944
Position Surface form Disambiguated ID Type / Status
Subject Tram 17 (Geneva) E252055 entity
Predicate fareZoneSystem P395 FINISHED
Object unireso fare 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 fare network | Statement: [Tram 17 (Geneva), fareZoneSystem, unireso fare network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: unireso fare network
Context triple: [Tram 17 (Geneva), fareZoneSystem, unireso fare 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. Worldwide Universities Network
    The Worldwide Universities Network is a global alliance of research-intensive universities that collaborate on international education, research, and knowledge exchange.
  • C. UniFE
    UniFE is the commonly used abbreviation for the University of Ferrara, a public research university located in Ferrara, Italy.
  • D. UniFR
    UniFR is the commonly used abbreviation for the University of Fribourg, a bilingual (French and German) public university in Fribourg, Switzerland.
  • E. UniBE
    UniBE is the commonly used abbreviation for the University of Bern, a major public research university located in Bern, Switzerland.
  • 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_69d6aa5bd7c08190a816e733b4045c23 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fd37cf408190a1912b3e0aa096a5 completed April 9, 2026, 1:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d988ad741c8190b9ae962e0c5bc272 completed April 10, 2026, 11:33 p.m.
Created at: April 8, 2026, 9:11 p.m.