Triple
T14256644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kleene strong three-valued logic |
E353399
|
entity |
| Predicate | hasSemanticFramework |
P74447
|
FINISHED |
| Object | three-valued matrices |
—
|
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: three-valued matrices | Statement: [Kleene strong three-valued logic, hasSemanticFramework, three-valued matrices]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSemanticFramework Context triple: [Kleene strong three-valued logic, hasSemanticFramework, three-valued matrices]
-
A.
hasSemantics
Indicates that one entity carries or encodes the meaning, interpretation, or semantic content associated with another entity.
-
B.
hasSemanticsDefinedBy
chosen
Indicates that the meaning or interpretation of one entity is specified, constrained, or determined by another entity.
-
C.
hasDistinctiveFrameworkWith
Indicates that one entity possesses a unique or distinguishing structural framework in relation to another entity.
-
D.
hasLinguisticFeature
Indicates that an entity possesses a particular linguistic property, trait, or characteristic.
-
E.
hasLogicalStructure
Indicates that one entity possesses or exhibits a specific underlying logical organization or pattern defined by another entity.
- 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_69d8278c43e08190824146f4632b89a5 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de62992a188190bc046fbab5a149d6 |
completed | April 14, 2026, 3:51 p.m. |
| PD | Predicate disambiguation | batch_69de2a7d586c8190846ff242bbf5ac53 |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:09 a.m.