Triple

T10330099
Position Surface form Disambiguated ID Type / Status
Subject WMS E242851 entity
Predicate supportsTransparency P203 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: [WMS, supportsTransparency, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsTransparency
Context triple: [WMS, supportsTransparency, true]
  • A. hasTransparencyRequirement
    Indicates that one entity is obligated to provide clear, accessible information or disclosure to another entity or to the public.
  • B. isTransparentTo
    Indicates that one entity allows another entity (such as light, information, or influence) to pass through or be perceived without obstruction or concealment.
  • C. transparency
    Indicates that an entity’s internal processes, information, or decision-making are openly accessible and understandable to others.
  • D. transparencyEffects
    Indicates how the level or presence of transparency in one entity influences the perception, behavior, or properties of another entity.
  • E. supportsFeature chosen
    Indicates that one entity provides, enables, or is compatible with a particular feature or capability of another.
  • 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d7fb77348190ac8ff887f6f03450 completed April 7, 2026, 10:10 a.m.
PD Predicate disambiguation batch_69d4d1f760e88190abea6dcc4f04f2c1 completed April 7, 2026, 9:44 a.m.
Created at: April 6, 2026, 11:52 a.m.