Triple

T7413159
Position Surface form Disambiguated ID Type / Status
Subject Saignelégier E171059 entity
Predicate hasCulturalRegion P1968 FINISHED
Object Jura francophone 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: Jura francophone | Statement: [Saignelégier, hasCulturalRegion, Jura francophone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jura francophone
Context triple: [Saignelégier, hasCulturalRegion, Jura francophone]
  • A. Francophonie
    Francophonie is the global community of French-speaking countries, regions, and peoples connected by the use of the French language and shared cultural and institutional ties.
  • B. Francophone Canada
    Francophone Canada refers to the regions of Canada where French is the primary language and culture, including Quebec and various French-speaking communities across other provinces and territories.
  • C. mainland France
    Mainland France is the European continental part of the French Republic, encompassing its largest and most populous territory including major cities like Paris, Lyon, and Marseille.
  • D. Romandy chosen
    Romandy is the French-speaking western region of Switzerland, encompassing cantons such as Geneva, Vaud, Neuchâtel, and Jura.
  • E. CH-FR
    CH-FR is the ISO 3166-2 code designating the Swiss canton of Fribourg.
  • 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_69c68a618bdc81908d8018edadecd1a4 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f2c336308190932c14cec5eec25f completed March 27, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8112960d48190a9947146e62daa13 completed March 28, 2026, 5:34 p.m.
Created at: March 27, 2026, 3:11 p.m.