Triple

T7184512
Position Surface form Disambiguated ID Type / Status
Subject Mercantour National Park E167534 entity
Predicate contains P35 FINISHED
Object Bévéra Valley E398025 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: Bévéra Valley | Statement: [Mercantour National Park, contains, Bévéra Valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bévéra Valley
Context triple: [Mercantour National Park, contains, Bévéra Valley]
  • A. Paillon valley chosen
    The Paillon valley is a river valley in southeastern France that runs through the Alpes-Maritimes and leads toward the city of Nice on the Mediterranean coast.
  • B. Jaur valley
    Jaur valley is a scenic river valley in southern France known for its natural landscapes, traditional villages, and outdoor recreation within the Haut-Languedoc region.
  • C. Vallée
    Vallée is a French surname most notably associated with acclaimed Canadian film director and screenwriter Jean-Marc Vallée.
  • D. Voueize valley
    Voueize valley is a scenic river valley in central France known for its rural landscapes and small historic villages.
  • E. Gressoney Valley
    Gressoney Valley is an alpine valley in Italy’s Aosta Valley region, known for its traditional Walser culture, picturesque villages, and access to the Monte Rosa massif and ski 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_69c6888a7c548190a3d39b52a393080f completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e8de114c8190ad8fde0654526482 completed March 27, 2026, 8:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7bf903f1c819098de137c8c43ca34 completed March 28, 2026, 11:46 a.m.
Created at: March 27, 2026, 2:49 p.m.