Triple
T21763292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Max-3-SAT |
E537214
|
entity |
| Predicate | hasTypicalObjectiveFunction |
P116644
|
FINISHED |
| Object | number of satisfied clauses |
—
|
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: number of satisfied clauses | Statement: [Max-3-SAT, hasTypicalObjectiveFunction, number of satisfied clauses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypicalObjectiveFunction Context triple: [Max-3-SAT, hasTypicalObjectiveFunction, number of satisfied clauses]
-
A.
objectiveFunctionType
chosen
Indicates the specific kind or category of objective function used to evaluate or optimize a system, model, or decision.
-
B.
hasEnergyFunction
Indicates that an entity is associated with, governed by, or characterized through a specific energy function.
-
C.
hasObjectiveTypes
Indicates that an entity is associated with one or more specific types or categories of objectives it aims to achieve.
-
D.
usesObjective
Indicates that an agent employs or applies a particular object, tool, or resource to carry out an action or achieve a goal.
-
E.
typeOfOptimality
Indicates that one entity specifies the particular notion or criterion of optimality that characterizes another entity’s optimal status or solution.
- 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_69e0c46f5d1c8190bf830409e98464e5 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f031a711dc8190a786c9849dc344e8 |
completed | April 28, 2026, 4:03 a.m. |
| PD | Predicate disambiguation | batch_69e6be6299988190a34c98fa76d94700 |
completed | April 21, 2026, 12:01 a.m. |
Created at: April 16, 2026, 6:51 p.m.