Triple

T700418
Position Surface form Disambiguated ID Type / Status
Subject French E13984 entity
Predicate hasDialects P4251 FINISHED
Object Swiss French E2947 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: Swiss French | Statement: [French, hasDialects, Swiss French]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Swiss French
Context triple: [French, hasDialects, Swiss French]
  • A. Romandy chosen
    Romandy is the French-speaking western region of Switzerland, encompassing cantons such as Geneva, Vaud, Neuchâtel, and Jura.
  • B. Franco-Provençal (Arpitan)
    Franco-Provençal (Arpitan) is a Romance language historically spoken in parts of France, Switzerland, and Italy, distinct from both French and Occitan and now considered endangered.
  • C. Swiss Germans
    Swiss Germans are a German-speaking ethnic subgroup primarily inhabiting the German-speaking regions of Switzerland, distinguished by their Alemannic dialects and Swiss cultural identity.
  • D. Luxembourgish
    Luxembourgish is a West Germanic language spoken primarily in Luxembourg, where it serves as a national and administrative language alongside French and German.
  • E. German-speaking Switzerland
    German-speaking Switzerland is the predominantly German-language region of Switzerland, encompassing major cities like Zurich and forming the country's largest linguistic and cultural area.
  • 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_69a493406c408190957eeec9048a8fb6 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a52fdb888190ad0e48fb3cf4dc3d completed March 1, 2026, 8:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5dcac4e9c8190bb6903916a6624a8 completed March 2, 2026, 6:53 p.m.
Created at: March 1, 2026, 7:36 p.m.