Triple
T36625468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DPLL(T) |
E904156
|
entity |
| Predicate | typicalImplementationInvolves |
P127762
|
FINISHED |
| Object | conflict-driven clause learning |
—
|
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: conflict-driven clause learning | Statement: [DPLL(T), typicalImplementationInvolves, conflict-driven clause learning]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalImplementationInvolves Context triple: [DPLL(T), typicalImplementationInvolves, conflict-driven clause learning]
-
A.
isOftenImplementedAs
chosen
Indicates that one thing is frequently realized, instantiated, or carried out in the form of another.
-
B.
implementedThrough
Indicates that something is realized, carried out, or made operational by means of a specified method, mechanism, or intermediary.
-
C.
typicalInterface
Indicates that one entity serves as the standard or commonly used interface through which another entity is accessed or interacted with.
-
D.
implementationType
Indicates the specific manner or approach by which something is implemented or realized in practice.
-
E.
isOftenImplementedOn
Indicates that something is frequently realized, executed, or carried out using or upon a particular platform, medium, or target.
- 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_69f76e6ae750819096911e6e2d4d12c5 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0bf4b88190bdcfae9a14b51f0a |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:11 p.m.