Triple

T25272077
Position Surface form Disambiguated ID Type / Status
Subject Antaresia maculosa E633592 entity
Predicate hasBodyPattern P8151 FINISHED
Object spotted 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: spotted | Statement: [Antaresia maculosa, hasBodyPattern, spotted]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasBodyPattern
Context triple: [Antaresia maculosa, hasBodyPattern, spotted]
  • A. hasBodyOf
    Indicates that one entity possesses, contains, or is composed of the physical body or main substance of another entity.
  • B. haveBody
    Indicates that one entity possesses, contains, or is associated with another entity as its body or main physical/content component.
  • C. hasPattern chosen
    Indicates that one entity exhibits, follows, or is characterized by a specific recurring form, structure, or design defined by another entity.
  • D. hasSupportBody
    Indicates that one entity serves as a supporting structure or body for another entity.
  • E. bodyPattern
    Indicates a recurring or characteristic configuration, arrangement, or sequence exhibited by a body or physical form.
  • 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_69e75a92f48881909974ff9c11150a2e completed April 21, 2026, 11:08 a.m.
NER Named-entity recognition batch_69f48ba2bb608190bb26a5a496fff3b8 completed May 1, 2026, 11:16 a.m.
PD Predicate disambiguation batch_69f4806d93dc8190b9dff4c63186faff completed May 1, 2026, 10:29 a.m.
Created at: April 21, 2026, 1:16 p.m.