Triple

T31495856
Position Surface form Disambiguated ID Type / Status
Subject Louis Pierre Vieillot E803537 entity
Predicate usedTaxonomicConcept P178081 FINISHED
Object life histories in species descriptions 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: life histories in species descriptions | Statement: [Louis Pierre Vieillot, usedTaxonomicConcept, life histories in species descriptions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedTaxonomicConcept
Context triple: [Louis Pierre Vieillot, usedTaxonomicConcept, life histories in species descriptions]
  • A. taxonomicUsage
    Indicates the way a taxonomic name is applied or used in a particular context, such as in a classification, identification, or reference.
  • B. usedTaxonomicSystem
    Indicates that a particular taxonomic classification system was applied or followed when organizing or identifying the entities involved.
  • C. speciesConcept
    Indicates a conceptual or taxonomic relationship in which an entity is classified as a particular biological species or is associated with a specific species definition.
  • D. namedTaxon
    Indicates that an entity is identified as, or associated with, a particular taxonomic name.
  • E. usesConceptIdentifier
    Indicates that one entity refers to or operates with a specific concept by means of its unique identifier.
  • F. None of above. chosen

Provenance (4 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_69f348cae52081909fa8e5f697523ae3 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f707f7959881908f037f0d6b1d0c36 completed May 3, 2026, 8:31 a.m.
PD Predicate disambiguation batch_69f700fc274c8190a128593dc7c7abd0 completed May 3, 2026, 8:02 a.m.
PDg Predicate description generation batch_69f707f380388190954b79d52a321921 completed May 3, 2026, 8:31 a.m.
Created at: April 30, 2026, 9:41 p.m.