Triple

T22813881
Position Surface form Disambiguated ID Type / Status
Subject DIRAC experiment E565050 entity
Predicate locatedInCity P40 FINISHED
Object Meyrin NE NERFINISHED

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: [DIRAC experiment, locatedInCity, Meyrin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meyrin
Context triple: [DIRAC experiment, locatedInCity, 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. Saanen
    Saanen is a picturesque Swiss village in the Bernese Oberland known for its traditional chalets, alpine scenery, and proximity to the upscale resort town of Gstaad.
  • C. Buochs
    Buochs is a Swiss lakeside municipality known for its scenic setting on Lake Lucerne and proximity to the Alps in central Switzerland.
  • D. Ruetz
    Ruetz is a river in the Stubai Valley of Tyrol, Austria, known for its alpine course through the Stubai Alps before joining the Sill River.
  • E. Sissach
    Sissach is a municipality in the canton of Basel-Landschaft in Switzerland, serving as a regional transport hub and residential town in the Basel metropolitan area.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2458426188190b58b8ab4844fe420 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17d62b0ec8190ac22909192e8a876 completed April 29, 2026, 3:39 a.m.
Created at: April 17, 2026, 3:32 p.m.