Triple

T10635838
Position Surface form Disambiguated ID Type / Status
Subject LHC Run 4 E250577 entity
Predicate hasLocation P40 FINISHED
Object Meyrin, Switzerland 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, Switzerland | Statement: [LHC Run 4, hasLocation, Meyrin, Switzerland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meyrin, Switzerland
Context triple: [LHC Run 4, hasLocation, Meyrin, Switzerland]
  • A. Bern, Switzerland
    Bern, Switzerland is the de facto capital of Switzerland, known for its well-preserved medieval old town, political institutions, and cultural heritage.
  • B. Engelberg, Switzerland
    Engelberg, Switzerland is a mountain resort village in the Swiss canton of Obwalden, renowned for its skiing, hiking, and alpine scenery.
  • C. Meyrin chosen
    Meyrin is a municipality in the canton of Geneva, Switzerland, best known for hosting major CERN facilities including the Super Proton Synchrotron.
  • D. Aigle, Switzerland
    Aigle, Switzerland is a small town in the canton of Vaud known as an international hub for professional cycling and sports administration.
  • E. Lucerne, Switzerland
    Lucerne, Switzerland is a picturesque city in central Switzerland known for its preserved medieval architecture, lakeside setting on Lake Lucerne, and surrounding mountain scenery.
  • 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_69d6aa5993448190a493b790b8f85010 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6dfad9dbc81909a4f78d93ecfaa20 completed April 8, 2026, 11:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69d96bc57a8081908abd73f4273d0666 completed April 10, 2026, 9:29 p.m.
Created at: April 8, 2026, 9:03 p.m.