Triple
T4436601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | G.729 |
E95665
|
entity |
| Predicate | codingAlgorithm |
P21840
|
FINISHED |
| Object | Conjugate-Structure Algebraic-Code-Excited Linear Prediction |
—
|
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: Conjugate-Structure Algebraic-Code-Excited Linear Prediction | Statement: [G.729, codingAlgorithm, Conjugate-Structure Algebraic-Code-Excited Linear Prediction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: codingAlgorithm Context triple: [G.729, codingAlgorithm, Conjugate-Structure Algebraic-Code-Excited Linear Prediction]
-
A.
algorithmDesigner
Indicates that one entity is responsible for creating or designing algorithms used by another entity or within a particular system.
-
B.
codeFor
Indicates that one entity serves as the implementation, encoding, or programmatic representation for another entity.
-
C.
algorithmType
chosen
Indicates the specific kind or category of algorithm associated with an entity or process.
-
D.
relatedAlgorithm
Indicates that one algorithm has a meaningful connection or association with another algorithm, such as similarity, dependency, or complementary function.
-
E.
code
Indicates that an entity writes, develops, or produces computer software or source code.
- 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_69b3453ea2b48190a26f154b3b8fece5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3558b1d4481909060ede5e0ded4bc |
completed | March 13, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69b34f6078cc8190831b89f404198cc5 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:31 p.m.