Triple

T14273025
Position Surface form Disambiguated ID Type / Status
Subject French-speaking Aosta Valley E353839 entity
Predicate contains P35 FINISHED
Object Val Ferret E70931 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 Ferret | Statement: [French-speaking Aosta Valley, contains, Val Ferret]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Val Ferret
Context triple: [French-speaking Aosta Valley, contains, Val Ferret]
  • A. Val Ferret chosen
    Val Ferret is a scenic alpine valley near Courmayeur in the Italian Alps, renowned for its hiking, skiing, and panoramic views of the Mont Blanc massif.
  • B. Leo le Gris
    Leo le Gris is a pseudonym of León de Greiff, the influential 20th-century Colombian poet known for his erudite, musical, and highly stylized verse.
  • C. Luc Oursel
    Luc Oursel was a French business executive best known for leading the nuclear energy company Areva during the early 2010s.
  • D. Gaspard
    Gaspard is a French masculine given name historically borne by notable figures such as nobles, military leaders, and artists.
  • E. Felice
    Felice is a comic character from the classic French farce "Il cappello di paglia di Firenze" (The Florentine Straw Hat), typically involved in the play’s intricate misunderstandings and humorous situations.
  • 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_69d8278d25148190abf1a8c8f5f533ad completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de65811d7c8190b075909a6570d415 completed April 14, 2026, 4:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd326a5aec8190b139a0c49fd43705 completed May 8, 2026, 12:46 a.m.
Created at: April 10, 2026, 1:10 a.m.