Triple
T34302593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baum–Welch algorithm |
E880219
|
entity |
| Predicate | E-stepUses |
P178869
|
FINISHED |
| Object | forward–backward 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: forward–backward algorithm | Statement: [Baum–Welch algorithm, E-stepUses, forward–backward algorithm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: E-stepUses Context triple: [Baum–Welch algorithm, E-stepUses, forward–backward algorithm]
-
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.
stepType
Indicates the specific kind or category of step an entity represents within a process or sequence.
-
C.
typicalStep
Indicates that an action, event, or sub-process is a standard or commonly occurring step within a larger process or procedure.
-
D.
stepReturns
Indicates that a particular step in a process or workflow yields, outputs, or hands back a specified result or value.
-
E.
isStepToward
Indicates that one action, state, or condition serves as progress or a necessary move in the direction of achieving another.
- 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_69f349b79f6c81909cb468c92c39c74d |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f717836f0c8190b4a397bbac37dd09 |
completed | May 3, 2026, 9:38 a.m. |
| PD | Predicate disambiguation | batch_69f7127a2ff08190b77d00963c9df621 |
completed | May 3, 2026, 9:16 a.m. |
| PDg | Predicate description generation | batch_69f71782422c81908196d5e4a610cb1a |
completed | May 3, 2026, 9:38 a.m. |
Created at: May 1, 2026, 1:57 a.m.