Triple

T3349810
Position Surface form Disambiguated ID Type / Status
Subject Skyway Monte Bianco E70461 entity
Predicate offersViewOf P3821 FINISHED
Object Val Veny E70462 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: Val Veny | Statement: [Skyway Monte Bianco, offersViewOf, Val Veny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Val Veny
Context triple: [Skyway Monte Bianco, offersViewOf, Val Veny]
  • A. Val Veny chosen
    Val Veny is a scenic alpine valley near Courmayeur in Italy’s Aosta Valley, known for its dramatic views of Mont Blanc, hiking trails, and natural landscapes.
  • B. Vachel
    Vachel is the given name of American poet Vachel Lindsay, known for his rhythmic, performance-oriented verse and influence on modern spoken poetry.
  • C. Kin Vassy
    Kin Vassy was an American singer and songwriter best known for his work in country and pop music, including collaborations with artists like Kenny Rogers and Frank Zappa.
  • D. Volnay
    Volnay is a renowned wine-producing village in Burgundy, France, celebrated for its elegant, aromatic red wines made primarily from Pinot Noir.
  • E. Mistinguett
    Mistinguett was a famous French actress and singer of the early 20th century, celebrated as one of Paris’s most iconic music-hall stars.
  • 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_69ad85a4ef7c8190a29e2bbd6fa454e4 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb21f3ae48190a33530712da01bc3 completed March 8, 2026, 5:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3252adb9c8190b053c8da0c0488a3 completed March 12, 2026, 8:42 p.m.
Created at: March 8, 2026, 3:12 p.m.