Triple

T35924248
Position Surface form Disambiguated ID Type / Status
Subject A.Juss. E1038974 entity
Predicate belongsToAuthorSystem P200998 FINISHED
Object botanical author abbreviations 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: botanical author abbreviations | Statement: [A.Juss., belongsToAuthorSystem, botanical author abbreviations]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: belongsToAuthorSystem
Context triple: [A.Juss., belongsToAuthorSystem, botanical author abbreviations]
  • A. hasAuthorRoleFor
    Indicates that an entity serves in the role of author for another entity, such as a work, document, or publication.
  • B. hasAuthorRelationship
    Indicates a relationship where one entity serves as the author or creator of another entity (such as a work, document, or resource).
  • C. authorBelongsTo
    Indicates that an author is affiliated with, or is a member of, a particular organization, group, or entity.
  • D. hasAuthorType
    Indicates that an entity is associated with an author characterized by a specific role, category, or type.
  • E. hasAuthorModel
    Indicates that something is associated with or defined by a particular authoring model.
  • 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_69f76e2320748190b7f5c4750d0cd0d3 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69ffc083a54c8190ac80d05ee8d20a6b completed May 9, 2026, 11:17 p.m.
PD Predicate disambiguation batch_69ffbfeb05b88190b4d50ce8124004d9 completed May 9, 2026, 11:14 p.m.
PDg Predicate description generation batch_69ffc082a4e881908a92313d2c755afe completed May 9, 2026, 11:17 p.m.
Created at: May 3, 2026, 4:07 p.m.