Triple

T36225678
Position Surface form Disambiguated ID Type / Status
Subject Flora Aegyptiaco-Arabica E1047976 entity
Predicate usedNomenclaturalSystemOf P1217 FINISHED
Object Carl Linnaeus NE NERFINISHED

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: Carl Linnaeus | Statement: [Flora Aegyptiaco-Arabica, usedNomenclaturalSystemOf, Carl Linnaeus]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedNomenclaturalSystemOf
Context triple: [Flora Aegyptiaco-Arabica, usedNomenclaturalSystemOf, Carl Linnaeus]
  • A. usedTaxonomicSystem
    Indicates that a particular taxonomic classification system was applied or followed when organizing or identifying the entities involved.
  • B. nomenclaturalCode
    Indicates the formal set of naming rules or code under which an entity’s scientific or taxonomic name is established or governed.
  • C. nomenclaturalStatus
    Indicates the formal taxonomic or naming status assigned to a scientific name (e.g., valid, invalid, synonym, provisional) within a nomenclatural system.
  • D. taxonomicUsage
    Indicates the way a taxonomic name is applied or used in a particular context, such as in a classification, identification, or reference.
  • E. usesNamingSystem chosen
    Indicates that one entity adopts or applies a particular naming system or convention to identify or label other entities.
  • 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_69f76e42c878819095c8d19c0267fb87 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7b59f00a08190b4a640552f794246 completed May 3, 2026, 8:52 p.m.
PD Predicate disambiguation batch_69f7b4c44390819084fb5558b354658f completed May 3, 2026, 8:49 p.m.
Created at: May 3, 2026, 4:09 p.m.