Triple

T35948617
Position Surface form Disambiguated ID Type / Status
Subject Stylapterus E1039655 entity
Predicate hasSpecializedFloralStructures P197716 FINISHED
Object true 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: true | Statement: [Stylapterus, hasSpecializedFloralStructures, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSpecializedFloralStructures
Context triple: [Stylapterus, hasSpecializedFloralStructures, true]
  • A. hasSpecializedPetal
    Indicates that an entity possesses petals that are specialized or modified for a particular function or role.
  • B. hasFloralWhorlCount
    Indicates the number of floral whorls present in a flower.
  • C. reproductiveStructure
    Indicates that one entity serves as a reproductive organ or structure of another, involved in producing or facilitating the formation of offspring or reproductive cells.
  • D. flowerStructure
    Indicates the structural characteristics or organization of a flower, such as the arrangement and form of its parts.
  • E. hasAndroecium
    Indicates that an organism or flower possesses an androecium, i.e., the male reproductive structure(s) of a flower.
  • 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_69f76e25ea488190b7cee970b3e70382 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fea2d0a4d08190aa06aeb902a02d5a completed May 9, 2026, 2:58 a.m.
PD Predicate disambiguation batch_69fea24698348190b9b992a8e7cdbcd0 completed May 9, 2026, 2:56 a.m.
PDg Predicate description generation batch_69fea2cfcd648190a15e5b90889095b1 completed May 9, 2026, 2:58 a.m.
Created at: May 3, 2026, 4:07 p.m.