Triple

T2046112
Position Surface form Disambiguated ID Type / Status
Subject CERN Prevessin–Meyrin site E45455 entity
Predicate locatedInOrNear P40 FINISHED
Object Meyrin E47537 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: Meyrin | Statement: [CERN Prevessin–Meyrin site, locatedInOrNear, Meyrin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meyrin
Context triple: [CERN Prevessin–Meyrin site, locatedInOrNear, Meyrin]
  • A. Meyrin chosen
    Meyrin is a municipality in the canton of Geneva, Switzerland, best known for hosting major CERN facilities including the Super Proton Synchrotron.
  • B. Saas-Fee
    Saas-Fee is a high-altitude Swiss alpine village and ski resort in the Valais Alps, known for its car-free center, extensive glacier skiing, and dramatic mountain scenery.
  • C. Thun
    Thun is a historic Swiss town in the canton of Bern, known for its medieval old town, lakeside setting on Lake Thun, and views of the surrounding Alps.
  • D. Veytaux
    Veytaux is a small municipality on the shores of Lake Geneva in the canton of Vaud, Switzerland, known for its scenic setting and proximity to the historic Château de Chillon.
  • E. Estavayer-le-Lac
    Estavayer-le-Lac is a historic lakeside town in western Switzerland known for its medieval old town, lakeshore beaches, and water sports on Lake Neuchâtel.
  • 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_69ae5d85c2208190bbd612a3ecbbacfd completed March 9, 2026, 5:41 a.m.
Created at: March 4, 2026, 7:39 p.m.