Triple

T4017180
Position Surface form Disambiguated ID Type / Status
Subject Kleeblatt E91190 entity
Predicate visualIdentityElement P48662 FINISHED
Object green cloverleaf 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: green cloverleaf | Statement: [Kleeblatt, visualIdentityElement, green cloverleaf]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: visualIdentityElement
Context triple: [Kleeblatt, visualIdentityElement, green cloverleaf]
  • A. visualIdentityDesigner
    Indicates that an entity is responsible for creating or shaping the visual identity or visual branding of another entity.
  • B. visualTrademark
    Indicates that one entity serves as a visual trademark or logo representing another entity.
  • C. hasBrandIdentityElement chosen
    Indicates that an entity includes or is associated with a specific component of its overall brand identity (such as a logo, color scheme, or tagline).
  • D. symbolOnInsignia
    Indicates that a particular symbol appears on or is featured as part of an insignia.
  • E. visualElements
    Indicates that one entity contains, uses, or is characterized by specific visual components or graphical features associated with another entity.
  • 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_69aed9618b04819081750d979d2af098 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefaec08dc8190a341809059554f84 completed March 9, 2026, 4:53 p.m.
PD Predicate disambiguation batch_69aef8fa6fec81909b1190ecbba61410 completed March 9, 2026, 4:44 p.m.
Created at: March 9, 2026, 3:35 p.m.