Triple

T29100146
Position Surface form Disambiguated ID Type / Status
Subject π/4 DQPSK E736616 entity
Predicate errorPerformance P20527 FINISHED
Object similar to QPSK under AWGN 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: similar to QPSK under AWGN | Statement: [π/4 DQPSK, errorPerformance, similar to QPSK under AWGN]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: errorPerformance
Context triple: [π/4 DQPSK, errorPerformance, similar to QPSK under AWGN]
  • A. impactOnPerformance chosen
    Indicates that one entity has an effect, influence, or consequence on the performance level or effectiveness of another entity.
  • B. performanceAs
    Indicates that one entity serves in a particular role, character, or capacity within a performance or presentation involving another entity.
  • C. performance
    Indicates that one entity’s effectiveness, quality, or success in carrying out a task, function, or role is being evaluated or characterized in relation to some standard or expectation.
  • D. performanceUse
    Indicates that something is used, employed, or utilized in the course of performing an action, task, or function.
  • E. performanceWith
    Indicates a relationship where two or more entities participate together in the same performance or staged presentation.
  • 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_69f077ec765c81909474c88bcc8bab43 completed April 28, 2026, 9:03 a.m.
NER Named-entity recognition batch_69f66d7765208190b87b1cc6d96a151c completed May 2, 2026, 9:32 p.m.
PD Predicate disambiguation batch_69f66abfdaf08190a55f14c70be6fd4d completed May 2, 2026, 9:21 p.m.
Created at: April 28, 2026, 11:11 a.m.