Triple

T13601978
Position Surface form Disambiguated ID Type / Status
Subject MDCT E324964 entity
Predicate relatedConcept P37 FINISHED
Object Discrete Cosine Transform E577496 NE 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: Discrete Cosine Transform | Statement: [MDCT, relatedConcept, Discrete Cosine Transform]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Discrete Cosine Transform
Context triple: [MDCT, relatedConcept, Discrete Cosine Transform]
  • A. Modified Discrete Cosine Transform
    Modified Discrete Cosine Transform is a lapped transform widely used in audio coding and compression (e.g., MP3, AAC) to efficiently represent overlapping time-domain signals in the frequency domain with reduced artifacts.
  • B. FFT
    FFT is the French Tennis Federation, the national governing body for tennis in France and organizer of major tournaments including the French Open.
  • C. FFT
    FFT is the IATA airport code for Capital City Airport in Kentucky, United States.
  • D. FFT
    FFT is the ICAO airline designator used in aviation to identify Frontier Airlines in flight plans and air traffic control communications.
  • E. Fourier transform chosen
    The Fourier transform is a mathematical operation that decomposes a function or signal into its constituent frequencies, widely used in engineering, physics, and signal processing.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb07ad3f48190a2173e42c5cfedb1 completed April 12, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78ae394748190b6a0f9a085b7dea6 completed May 3, 2026, 5:50 p.m.
Created at: April 9, 2026, 9:49 p.m.