Triple

T5562891
Position Surface form Disambiguated ID Type / Status
Subject Dent Blanche E145806 entity
Predicate isVisibleFrom P854 FINISHED
Object Val d’Hérens E534223 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 d’Hérens | Statement: [Dent Blanche, isVisibleFrom, Val d’Hérens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Val d’Hérens
Context triple: [Dent Blanche, isVisibleFrom, Val d’Hérens]
  • A. Val d’Hérens chosen
    Val d’Hérens is a picturesque alpine valley in the Swiss canton of Valais, known for its traditional villages, dramatic peaks, and well-preserved rural culture.
  • B. Val d’Anniviers
    Val d’Anniviers is a picturesque alpine valley in the Swiss canton of Valais, known for its traditional villages, dramatic peaks, and popular hiking and skiing terrain.
  • C. Vallée de l’Arve
    Vallée de l’Arve is a valley in the French Alps known for its industrial towns and as a key route linking Geneva to the Mont Blanc region.
  • D. Val di Rhêmes
    Val di Rhêmes is an alpine valley in Italy’s Aosta Valley region, known for its pristine landscapes and role as a key access route into the Gran Paradiso National Park.
  • E. Grésivaudan Valley
    The Grésivaudan Valley is a broad alpine valley in southeastern France, known for its scenic landscapes, agricultural plains, and proximity to the city of Grenoble.
  • 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_69c008fdae24819081aa002ad99cd966 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0201ba0e88190acd5bfaa5973f2d8 completed March 22, 2026, 5 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07d7e791c8190bf493d9a3334a5bd completed March 22, 2026, 11:38 p.m.
Created at: March 22, 2026, 3:36 p.m.