Triple

T4991778
Position Surface form Disambiguated ID Type / Status
Subject Aiguilles Rouges E112146 entity
Predicate hasViewpoint P854 FINISHED
Object Lac Blanc E326491 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: Lac Blanc | Statement: [Aiguilles Rouges, hasViewpoint, Lac Blanc]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lac Blanc
Context triple: [Aiguilles Rouges, hasViewpoint, Lac Blanc]
  • A. Lac Blanc chosen
    Lac Blanc is a scenic alpine lake in the Vosges Mountains of northeastern France, popular for hiking, nature observation, and panoramic views.
  • B. Lac du Der-Chantecoq
    Lac du Der-Chantecoq is one of France’s largest artificial lakes, known for its birdlife, wetlands, and role in flood control and recreation in the Champagne region.
  • C. Glacière
    Glacière is a Paris Métro station in the 13th arrondissement, known for its elevated tracks and proximity to the historic Rue de la Glacière.
  • D. Lac du Bourget
    Lac du Bourget is a large glacial lake in the Savoie region of southeastern France, known for its scenic Alpine setting and popular recreational activities.
  • E. Mer de Glace
    Mer de Glace is the largest glacier in France, flowing down the northern slopes of the Mont Blanc massif in the French Alps and serving as a major tourist attraction near Chamonix.
  • 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_69bd441be7bc8190b530362d427b97d2 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd729bb45081908d85891a9d9f4b71 completed March 20, 2026, 4:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69be8a282dd08190a29b92e8e825a3bb completed March 21, 2026, 12:08 p.m.
Created at: March 20, 2026, 1:34 p.m.