Triple
T25602579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reed–Solomon codes |
E641825
|
entity |
| Predicate | decodingAlgorithmsInclude |
P14388
|
FINISHED |
| Object | Berlekamp–Massey algorithm |
—
|
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: Berlekamp–Massey algorithm | Statement: [Reed–Solomon codes, decodingAlgorithmsInclude, Berlekamp–Massey algorithm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: decodingAlgorithmsInclude Context triple: [Reed–Solomon codes, decodingAlgorithmsInclude, Berlekamp–Massey algorithm]
-
A.
decodingMethod
chosen
Indicates the technique or process used to convert encoded or encrypted data back into its original, interpretable form.
-
B.
openSourceDecoder
Indicates that the decoder component is released as open-source software, allowing public access, use, modification, and distribution of its source code.
-
C.
coDecipherer
Indicates that two or more entities jointly participated in deciphering or decoding something together.
-
D.
usesCodec
Indicates that one entity employs or relies on a specific codec to encode, decode, or process data.
-
E.
deciphers
Indicates the action of successfully interpreting or figuring out the meaning of something that is difficult to understand or encoded.
- 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_69e75dc6ccf081908d49578fd36a76d5 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f9a7d7d881909014fdf3746f981b |
completed | May 2, 2026, 1:18 p.m. |
| PD | Predicate disambiguation | batch_69f480789be08190ab252a6de3797200 |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 4:36 p.m.