Triple

T16617119
Position Surface form Disambiguated ID Type / Status
Subject Félibrige movement E403723 entity
Predicate mainRegion P1103 FINISHED
Object Provence E269383 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: Provence | Statement: [Félibrige movement, mainRegion, Provence]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Provence
Context triple: [Félibrige movement, mainRegion, Provence]
  • A. Provence chosen
    Provence is a historic region in southeastern France known for its picturesque lavender fields, Mediterranean coastline, and rich cultural and culinary traditions.
  • B. Languedoc
    Languedoc is a historic region in southern France known for its Occitan culture, medieval towns, and long-standing wine-making tradition.
  • C. Provence-Alpes-Côte d’Azur
    Provence-Alpes-Côte d’Azur is a region in southeastern France known for its Mediterranean coastline, picturesque villages, and cultural hubs such as Marseille and Nice.
  • D. Coteaux Varois en Provence
    Coteaux Varois en Provence is a French appellation in central Provence known for its high-altitude vineyards producing fresh, aromatic rosé, red, and white wines.
  • E. Southern France
    Southern France is a culturally rich and geographically diverse region known for its Mediterranean coastline, historic cities, and renowned cuisine and wine.
  • 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3754ac9dc8190965197024594742b completed April 18, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00dbf6507081909f6a49c003f9d6d6 completed May 10, 2026, 7:26 p.m.
Created at: April 10, 2026, 5:17 a.m.