Triple

T19532135
Position Surface form Disambiguated ID Type / Status
Subject Hamming bound E488680 entity
Predicate generalizedTo P2372 FINISHED
Object q-ary Hamming bound NE NERFINISHED

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: q-ary Hamming bound | Statement: [Hamming bound, generalizedTo, q-ary Hamming bound]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: q-ary Hamming bound
Context triple: [Hamming bound, generalizedTo, q-ary Hamming bound]
  • A. Hamming bound chosen
    The Hamming bound is a fundamental limit in coding theory that specifies the maximum number of codewords a block code can have for a given length and minimum distance while still allowing reliable error detection and correction.
  • B. Gilbert–Varshamov bound
    The Gilbert–Varshamov bound is a fundamental result in coding theory that provides a lower bound on the maximum size of error-correcting codes for given length and minimum distance, showing that relatively dense codes with good error-correcting capability exist.
  • C. Plotkin bound
    The Plotkin bound is a fundamental result in coding theory that gives an upper limit on the size of a code with given length and minimum distance, especially strong for codes with relatively large minimum distance.
  • D. Hamming code
    Hamming code is a family of error-detecting and error-correcting binary codes that enable the automatic detection and correction of single-bit errors in transmitted or stored data.
  • E. Accola–Maclachlan bound
    The Accola–Maclachlan bound is a refinement in algebraic geometry that gives an improved upper limit on the size of the automorphism group of a compact Riemann surface (or algebraic curve), sharpening the classical Hurwitz bound in certain cases.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8db5b6c8190984b61f91981f575 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6363fd1f8819080805346efad2579 completed April 20, 2026, 2:20 p.m.
Created at: April 10, 2026, 1:41 p.m.