Triple
T26992461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SAT |
E679891
|
entity |
| Predicate | commonAlgorithmicApproach |
P25130
|
FINISHED |
| Object | DPLL 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: DPLL algorithm | Statement: [SAT, commonAlgorithmicApproach, DPLL algorithm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commonAlgorithmicApproach Context triple: [SAT, commonAlgorithmicApproach, DPLL algorithm]
-
A.
relatedAlgorithm
chosen
Indicates that one algorithm has a meaningful connection or association with another algorithm, such as similarity, dependency, or complementary function.
-
B.
standardApproach
Indicates that an entity uses or follows a commonly accepted, conventional, or typical method for addressing a task or problem.
-
C.
algorithmType
Indicates the specific kind or category of algorithm associated with an entity or process.
-
D.
guardedApproachTo
Indicates a cautious, defensive, or wary manner of moving toward or engaging with another entity.
-
E.
programmingMethod
Indicates the method, technique, or approach used to carry out a programming-related activity or task.
- 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_69eeeb5138ac8190b3c273ddc659a54f |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f70e8755a48190931eaa77946f9460 |
completed | May 3, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69f70abc00848190a1c3f495ef6c8dc6 |
completed | May 3, 2026, 8:43 a.m. |
Created at: April 27, 2026, 6:52 a.m.