Triple

T25910547
Position Surface form Disambiguated ID Type / Status
Subject Dasyurus E652879 entity
Predicate belongsToSubclass P1244 FINISHED
Object Theria NE NERFINISHED

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: Theria | Statement: [Dasyurus, belongsToSubclass, Theria]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: belongsToSubclass
Context triple: [Dasyurus, belongsToSubclass, Theria]
  • A. hasMultipleSubclasses
    Indicates that a class or category is related to more than one distinct subclass within a hierarchy.
  • B. subclassOf chosen
    Indicates that one class is a more specific type of another class, inheriting its characteristics as a subset of it.
  • C. belongsToSubfield
    Indicates that one field, topic, or area of study is a more specialized part within a broader academic or disciplinary field.
  • D. belongsToSubfamily
    Indicates that one entity is a member of, or classified within, a specific subfamily of another entity.
  • E. hasStructuralSubtype
    Indicates that one structure is a more specific, subordinate form or subtype of another structure within a structural hierarchy.
  • 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_69e7ab3d3f8481909bc53ed64c06af33 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f6cee45590819086e489bfccbe4ac3 completed May 3, 2026, 4:28 a.m.
PD Predicate disambiguation batch_69f6cc1188708190b8f0f56e595e6057 completed May 3, 2026, 4:16 a.m.
Created at: April 22, 2026, 8:28 a.m.