Triple

T26966674
Position Surface form Disambiguated ID Type / Status
Subject BPP E679189 entity
Predicate typicalRejectionCondition P161386 FINISHED
Object no-instances accepted with probability at most 1/3 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: no-instances accepted with probability at most 1/3 | Statement: [BPP, typicalRejectionCondition, no-instances accepted with probability at most 1/3]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalRejectionCondition
Context triple: [BPP, typicalRejectionCondition, no-instances accepted with probability at most 1/3]
  • A. rejectionCondition chosen
    Indicates the condition or set of criteria under which something (such as a request, offer, or item) is deemed unacceptable and therefore refused or discarded.
  • B. typicalAcceptanceCondition
    Indicates the usual or standard conditions under which something is accepted or deemed acceptable.
  • C. rejectionErrorType
    Indicates the specific category or nature of the error that caused a rejection to occur.
  • D. rejectedRequirement
    Indicates that a proposed requirement has been evaluated and explicitly not accepted or approved.
  • E. mayReject
    Indicates that one entity has the authority or option to refuse, decline, or not accept another entity or proposal.
  • 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_69eeeb4f3a448190b1e94b2d4776c16e completed April 27, 2026, 4:51 a.m.
NER Named-entity recognition batch_69ff2fbae9b48190847eefa1c227d43e completed May 9, 2026, 12:59 p.m.
PD Predicate disambiguation batch_69ff2f2218048190a32224a648182b5d completed May 9, 2026, 12:57 p.m.
Created at: April 27, 2026, 6:36 a.m.