Triple
T26253874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | extended binary Golay code |
E656668
|
entity |
| Predicate | numberOfCodewords |
P194799
|
FINISHED |
| Object | 4096 |
—
|
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: 4096 | Statement: [extended binary Golay code, numberOfCodewords, 4096]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfCodewords Context triple: [extended binary Golay code, numberOfCodewords, 4096]
-
A.
hasCodewordsOfWeight
Indicates that one entity (typically a code) possesses codewords whose Hamming weight equals the specified value in the related entity.
-
B.
parityOfCodewords
Indicates that the relationship concerns whether the number of codewords (or bits within them) is even or odd, i.e., their parity.
-
C.
codeword
Indicates that one entity serves as a codeword or encoded representation used to convey, reference, or stand in for another entity within a coding or communication system.
-
D.
codeLengthSymbol
Indicates a relationship where a symbol is associated with, or assigned, a specific code length (such as in an encoding or compression scheme).
-
E.
numericCompanionCode
Indicates that one entity is associated with another through a specific numeric companion code used to link or reference them.
- 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_69ee5b4d25ac819086acb51184602576 |
completed | April 26, 2026, 6:37 p.m. |
| NER | Named-entity recognition | batch_69fd884cb2b48190b6acd473430d9e19 |
completed | May 8, 2026, 6:53 a.m. |
| PD | Predicate disambiguation | batch_69fd8709ca208190a8bab836f0156af5 |
completed | May 8, 2026, 6:47 a.m. |
| PDg | Predicate description generation | batch_69fd884b9d908190833de9500ff6d62a |
completed | May 8, 2026, 6:52 a.m. |
Created at: April 26, 2026, 9:08 p.m.