Triple

T2355236
Position Surface form Disambiguated ID Type / Status
Subject Meyrin E47537 entity
Predicate borders P224 FINISHED
Object Vernier E9287 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: Vernier | Statement: [Meyrin, borders, Vernier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vernier
Context triple: [Meyrin, borders, Vernier]
  • A. Vernier chosen
    Vernier is a municipality in the canton of Geneva in southwestern Switzerland, forming part of the Geneva metropolitan area.
  • B. Elster
    Elster is a river in central Europe, primarily flowing through the German state of Saxony and its surrounding regions.
  • C. Osci
    The Osci were an ancient Italic people of southern Italy, closely related to other Campanian tribes and known for their Oscan language and cultural influence in the region.
  • D. Vane
    Vane is an English surname historically associated with several notable aristocratic and political families in Britain.
  • E. Versonnex
    Versonnex is a small commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
  • 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_69a88a1b678c8190bce986922ba60ce0 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc6fd4e488190b763a1c9b5d18f2c completed March 7, 2026, 6:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae963660108190b58f3288a5b3f96e completed March 9, 2026, 9:43 a.m.
Created at: March 4, 2026, 7:54 p.m.