Triple

T6455322
Position Surface form Disambiguated ID Type / Status
Subject Lausanne Opera E141979 entity
Predicate locatedInRegion P40 FINISHED
Object Romandie E26480 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: Romandie | Statement: [Lausanne Opera, locatedInRegion, Romandie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Romandie
Context triple: [Lausanne Opera, locatedInRegion, Romandie]
  • A. Romandie chosen
    Romandie is the French-speaking region of western Switzerland, encompassing cantons such as Geneva, Vaud, Neuchâtel, and Jura.
  • B. Jura region
    The Jura region is a mountainous area in western Switzerland and eastern France known for its limestone plateaus, dense forests, watchmaking tradition, and distinctive wines and cheeses.
  • C. Franche-Comté
    Franche-Comté is a historical region in eastern France bordering Switzerland, known for its mountainous Jura landscapes, distinctive cheeses like Comté, and a past marked by shifting control between France and the Habsburgs.
  • D. Alsace
    Alsace is a historical and cultural region in northeastern France known for its blend of French and German influences, picturesque villages, and renowned wines.
  • E. Alsacia
    Alsacia is a Madrid Metro station on Line 2 serving the San Blas-Canillejas district in eastern Madrid, Spain.
  • 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_69c008d2f91c8190a8178767a35e08fc completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c069d4d588819090e8a56c46c0bfe9 completed March 22, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c67c43893c8190b99130bb9a3afc40 completed March 27, 2026, 12:46 p.m.
Created at: March 22, 2026, 4:48 p.m.