Triple

T23381757
Position Surface form Disambiguated ID Type / Status
Subject Genève-Eaux-Vives station E593765 entity
Predicate fareZoneSystem P395 FINISHED
Object unireso 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 | Statement: [Genève-Eaux-Vives station, fareZoneSystem, unireso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: unireso
Context triple: [Genève-Eaux-Vives station, fareZoneSystem, unireso]
  • 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. UniGe
    UniGe is the commonly used abbreviation for the University of Genoa, a major public research university located in Genoa, Italy.
  • C. UNIVEN
    UNIVEN is the commonly used abbreviation for the University of Venda, a public university located in Thohoyandou, Limpopo, South Africa.
  • D. UniBE
    UniBE is the commonly used abbreviation for the University of Bern, a major public research university located in Bern, Switzerland.
  • E. Hokkaido University
    Hokkaido University is a major national research university in Sapporo, Japan, known for its broad academic offerings, strong science and agriculture programs, and spacious, park-like campus.
  • 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_69e25d268a50819095f2fd479da8ef3f completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a3b7eff48190be126df2211b4c85 completed April 29, 2026, 6:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c5de5fd648190becc39a9d414cd76 completed May 19, 2026, 12:56 p.m.
Created at: April 17, 2026, 5:34 p.m.