Triple

T27562577
Position Surface form Disambiguated ID Type / Status
Subject Bintang Mahaputera E695811 entity
Predicate wearingClassDependency P130658 FINISHED
Object insignia form depends on class of the order 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: insignia form depends on class of the order | Statement: [Bintang Mahaputera, wearingClassDependency, insignia form depends on class of the order]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: wearingClassDependency
Context triple: [Bintang Mahaputera, wearingClassDependency, insignia form depends on class of the order]
  • A. wearingClass
    Indicates that one entity is wearing or dressed in an item belonging to a particular class or category of clothing or accessories.
  • B. wearingRegulatedBy chosen
    Indicates that the act of wearing something is governed, constrained, or directed by a rule, regulation, or authority.
  • C. wearingOrder
    Indicates the relative sequence in which items are worn on or over one another (e.g., which garment is worn over or under another).
  • D. wearerMust
    Indicates that a specified item or object is required to be worn by a particular entity under certain conditions or rules.
  • E. wears
    Indicates that one entity is dressed in, or has on its body, a particular item such as clothing or accessories.
  • 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_69ef53891af88190a193c5e2a1dac9b1 completed April 27, 2026, 12:16 p.m.
NER Named-entity recognition batch_69f62fbaa3388190b23c631f5c39ef06 completed May 2, 2026, 5:09 p.m.
PD Predicate disambiguation batch_69f62c1921008190a62675a31f66a875 completed May 2, 2026, 4:53 p.m.
Created at: April 27, 2026, 1:40 p.m.