Triple

T18888815
Position Surface form Disambiguated ID Type / Status
Subject Réserve naturelle régionale de Saint-Nicolas-de-la-Grave E462028 entity
Predicate hasMainLandscapeFeature P1094 FINISHED
Object river confluence LITERAL 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: river confluence | Statement: [Réserve naturelle régionale de Saint-Nicolas-de-la-Grave, hasMainLandscapeFeature, river confluence]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMainLandscapeFeature
Context triple: [Réserve naturelle régionale de Saint-Nicolas-de-la-Grave, hasMainLandscapeFeature, river confluence]
  • A. hasLandscapeFeatures
    Indicates that an entity possesses or includes specific landscape-related characteristics or elements.
  • B. hasNaturalFeature chosen
    Indicates that one entity possesses, contains, or is characterized by a particular natural feature (such as a mountain, river, forest, or coastline).
  • C. hasMonumentalFeature
    Indicates that an entity possesses or includes a significant, large-scale, or historically important physical feature or structure.
  • D. isNaturalFeature
    Indicates that the subject is a naturally occurring physical feature of the environment, not created or significantly altered by human activity.
  • E. hasScenicViewOf
    Indicates that one entity offers a visually appealing or picturesque view of another entity.
  • F. None of above.

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_69d8dcfc3430819095ee6fc0eb4c06a5 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c478d8c481909291e7c471e5095a completed April 20, 2026, 6:15 a.m.
PD Predicate disambiguation batch_69e4a2e27e1481908a8da10b28f07875 completed April 19, 2026, 9:39 a.m.
Created at: April 10, 2026, 11:58 a.m.