Triple

T24294901
Position Surface form Disambiguated ID Type / Status
Subject Asr E605929 entity
Predicate requiresPurity P42360 FINISHED
Object yes 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: yes | Statement: [Asr, requiresPurity, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: requiresPurity
Context triple: [Asr, requiresPurity, yes]
  • A. purity
    Indicates that an entity possesses a high degree of cleanliness, integrity, or freedom from contamination, corruption, or mixed elements.
  • B. mutabilityRequirement
    Indicates a requirement that the related entity or value be mutable (i.e., allowed or expected to change) in the context of the specified relationship or operation.
  • C. requiresProperty chosen
    Indicates that one entity depends on another entity possessing a specific property or attribute in order for a condition, action, or relationship to hold.
  • D. requiresUniformity
    Indicates that one entity imposes a condition that another entity (or set of entities) must be consistent or identical in a specified aspect.
  • E. requiresSpecificityFor
    Indicates that one entity or condition must be defined or described with a higher level of detail or precision in order for another entity, action, or process to be valid or applicable.
  • 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_69e29549335881909cbf27adcaba1cf0 completed April 17, 2026, 8:17 p.m.
NER Named-entity recognition batch_69f291593c0881908a6827f0d8899fe6 completed April 29, 2026, 11:16 p.m.
PD Predicate disambiguation batch_69f1c45c6ec081908401b69424428100 completed April 29, 2026, 8:42 a.m.
Created at: April 18, 2026, 12:09 a.m.