Triple

T32546955
Position Surface form Disambiguated ID Type / Status
Subject Convention on the Conservation of European Wildlife and Natural Habitats E831870 entity
Predicate appendixIDefines P16822 FINISHED
Object strictly protected flora species 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: strictly protected flora species | Statement: [Convention on the Conservation of European Wildlife and Natural Habitats, appendixIDefines, strictly protected flora species]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: appendixIDefines
Context triple: [Convention on the Conservation of European Wildlife and Natural Habitats, appendixIDefines, strictly protected flora species]
  • A. appendixContent
    Indicates that one entity serves as the appendix material or supplementary content associated with another entity.
  • B. hasAppendix
    Indicates that one entity includes or is associated with an appendix section related to another entity.
  • C. appendixIIIContent
    Indicates that the content pertains specifically to materials, items, or information listed in Appendix III of a referenced document or convention.
  • D. appendixIIContent chosen
    Indicates that one entity is the content included in, or associated with, the second appendix of another entity.
  • E. appendicesCount
    Indicates the number of appendices associated with a given entity or document.
  • 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_69f34925fd08819084cfe4ec566cb704 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6c5c12618819096751dd2e35f9f4f completed May 3, 2026, 3:49 a.m.
PD Predicate disambiguation batch_69f6bd2a14b081908162923dfbf0a6f4 completed May 3, 2026, 3:12 a.m.
Created at: May 1, 2026, 1:02 a.m.