Triple
T31653226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Forney algorithm |
E807787
|
entity |
| Predicate | stepOf |
P132547
|
FINISHED |
| Object | algebraic decoding process |
—
|
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: algebraic decoding process | Statement: [Forney algorithm, stepOf, algebraic decoding process]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stepOf Context triple: [Forney algorithm, stepOf, algebraic decoding process]
-
A.
stepping
Indicates that an entity is moving its foot or feet to take a step, often as part of walking or changing position.
-
B.
stepTakes
Indicates that one step directly follows or is taken after another step in a process or sequence.
-
C.
stepInRoutine
Indicates that an action or event occurs as an ordered step within a larger, structured routine or sequence of activities.
-
D.
stepOfModel
chosen
Indicates that something is a specific step or stage within a larger model or process.
-
E.
stepType
Indicates the specific kind or category of step an entity represents within a process or sequence.
- 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_69f348daf95c81908b4c985b7ddcd0b3 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a95b77688190a24eabe11d5fa989 |
completed | May 3, 2026, 1:48 a.m. |
| PD | Predicate disambiguation | batch_69f6a757c6e081908e37631e5d8d246b |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 30, 2026, 10:54 p.m.