Triple

T26966700
Position Surface form Disambiguated ID Type / Status
Subject RP E679190 entity
Predicate rejectionCondition P161386 FINISHED
Object if x is not in the language then the machine accepts x with probability 0 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: if x is not in the language then the machine accepts x with probability 0 | Statement: [RP, rejectionCondition, if x is not in the language then the machine accepts x with probability 0]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: rejectionCondition
Context triple: [RP, rejectionCondition, if x is not in the language then the machine accepts x with probability 0]
  • A. rejectedRequirement
    Indicates that a proposed requirement has been evaluated and explicitly not accepted or approved.
  • B. rejectedBy
    Indicates that one entity has been refused, dismissed, or not accepted by another entity.
  • C. rejectedBecause
    Indicates that one entity refused, dismissed, or did not accept another entity specifically due to a stated reason or cause.
  • D. rejectedIn
    Indicates that an entity or proposal was not accepted or was turned down within a specific context, process, or location.
  • E. resultOfRejection
    Indicates that something occurs as a consequence or outcome of a prior act of rejection.
  • F. None of above. chosen

Provenance (4 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_69f621210b788190ab9e910cd635f366 completed May 2, 2026, 4:06 p.m.
PD Predicate disambiguation batch_69f611af72ac819094598dd2530d7411 completed May 2, 2026, 3:01 p.m.
PDg Predicate description generation batch_69f6125e54e0819088ee33a20efcc9e6 completed May 2, 2026, 3:03 p.m.
Created at: April 27, 2026, 6:36 a.m.