Triple

T2046128
Position Surface form Disambiguated ID Type / Status
Subject CERN Prevessin–Meyrin site E45455 entity
Predicate locatedInRegion P40 FINISHED
Object Pays de Gex E110898 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: Pays de Gex | Statement: [CERN Prevessin–Meyrin site, locatedInRegion, Pays de Gex]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pays de Gex
Context triple: [CERN Prevessin–Meyrin site, locatedInRegion, Pays de Gex]
  • A. Pays de Gex chosen
    Pays de Gex is a region in eastern France near the Swiss border, known for its proximity to Geneva and the Jura Mountains.
  • B. Lancy
    Lancy is a suburban municipality in western Switzerland that forms part of the urban area of Geneva.
  • C. Brioude
    Brioude is a historic town in south-central France known for its Romanesque Basilica of Saint-Julien and its location in the Haute-Loire department of the Auvergne region.
  • D. Saignelégier
    Saignelégier is a municipality in the Swiss canton of Jura known for its rural landscapes, watchmaking heritage, and the annual Marché-Concours horse festival.
  • E. Montgenèvre
    Montgenèvre is a French Alpine ski resort village in the Hautes-Alpes department, known for its high-altitude slopes and location near the Italian border.
  • 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_69a8891948208190ab7898da21824c77 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb973a51881908c2c1e633daa3cb4 completed March 7, 2026, 5:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae95efea5c8190a8a63e36cf3247e7 completed March 9, 2026, 9:42 a.m.
Created at: March 4, 2026, 7:39 p.m.