Triple
T6833222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Successive Over-Relaxation |
E157387
|
entity |
| Predicate | introducesParameter |
P12016
|
FINISHED |
| Object | relaxation factor ω |
—
|
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: relaxation factor ω | Statement: [Successive Over-Relaxation, introducesParameter, relaxation factor ω]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducesParameter Context triple: [Successive Over-Relaxation, introducesParameter, relaxation factor ω]
-
A.
parameter
chosen
Indicates that one entity serves as a parameter or argument that configures, constrains, or influences the behavior or outcome of another entity or process.
-
B.
introducedPart
Indicates that one entity has brought another entity into existence, use, or awareness as a component or element of something.
-
C.
introduced
Indicates that one entity caused another entity to become known, presented, or brought into use for the first time to a person, group, or context.
-
D.
introducesSpeakerRole
Indicates that one entity performs the act of presenting or announcing another entity in a specific speaker role.
-
E.
canIntroduce
Indicates that one entity has the ability or permission to introduce another entity to a third party or context.
- 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_69c6882c53608190b99aebef079b23bd |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d62b1e8c8190a81d91191a54b073 |
completed | March 27, 2026, 7:10 p.m. |
| PD | Predicate disambiguation | batch_69c6d09d95f0819091ca7f897dc21efe |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:18 p.m.