Triple

T17442636
Position Surface form Disambiguated ID Type / Status
Subject Castellane E424694 entity
Predicate hasViewOver P1323 FINISHED
Object Verdon valley NE NERFINISHED

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: Verdon valley | Statement: [Castellane, hasViewOver, Verdon valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Verdon valley
Context triple: [Castellane, hasViewOver, Verdon valley]
  • A. Verdon
    Verdon is a surname most notably associated with American actress and dancer Gwen Verdon.
  • B. Verdon Gorge chosen
    Verdon Gorge is a spectacular limestone canyon in southeastern France, renowned for its turquoise river, dramatic cliffs, and popularity for hiking, climbing, and water sports.
  • C. Verdon River
    The Verdon River is a picturesque river in southeastern France renowned for carving the dramatic Verdon Gorge, one of Europe’s most spectacular canyon landscapes.
  • D. Canyon
    Canyon is a small city in the Texas Panhandle known as the home of West Texas A&M University and a gateway to Palo Duro Canyon State Park.
  • E. Canyon
    Canyon is a famous 1959 combine painting by Robert Rauschenberg that merges traditional painting with found objects, including a stuffed bald eagle, exemplifying his radical blurring of art and everyday materials.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889db0ba481908402409af3b37917 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e44ff82bbc819095dd0621137da809 completed April 19, 2026, 3:46 a.m.
Created at: April 10, 2026, 5:47 a.m.