Triple

T11582499
Position Surface form Disambiguated ID Type / Status
Subject Chindrieux E274662 entity
Predicate hasNearbyNaturalSite P52075 FINISHED
Object Lake Bourget E55862 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: Lake Bourget | Statement: [Chindrieux, hasNearbyNaturalSite, Lake Bourget]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Bourget
Context triple: [Chindrieux, hasNearbyNaturalSite, Lake Bourget]
  • A. Lake Bourget chosen
    Lake Bourget is a large glacial lake in eastern France, renowned for its scenic Alpine setting, biodiversity, and popularity as a destination for boating and outdoor recreation.
  • B. Dayet Aoua Lake
    Dayet Aoua Lake is a scenic freshwater lake in Morocco’s Middle Atlas region, popular for its natural beauty, birdlife, and outdoor recreation.
  • C. Lake of Tunis
    Lake of Tunis is a coastal lagoon near the city of Tunis in Tunisia, historically significant as a natural harbor and ecological wetland area.
  • 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. Lac Pavin
    Lac Pavin is a deep, nearly circular volcanic crater lake in France’s Auvergne region, renowned for its meromictic waters and scenic setting.
  • 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_69d6aae5ac3c81908d2b0a3a665665b2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8904db5748190ae5f10ae86ccdf46 completed April 10, 2026, 5:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69e7142d442c8190a48372e0e17db517 completed April 21, 2026, 6:07 a.m.
Created at: April 8, 2026, 9:38 p.m.