Triple
T14256631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kleene strong three-valued logic |
E353399
|
entity |
| Predicate | treatmentOfTautologies |
P84902
|
FINISHED |
| Object | classical tautologies may fail to be designated |
—
|
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: classical tautologies may fail to be designated | Statement: [Kleene strong three-valued logic, treatmentOfTautologies, classical tautologies may fail to be designated]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: treatmentOfTautologies Context triple: [Kleene strong three-valued logic, treatmentOfTautologies, classical tautologies may fail to be designated]
-
A.
treatsRightAs
Indicates that one entity provides medical or therapeutic treatment to another entity who is identified as the right-hand participant in the relationship.
-
B.
hasTheoreticalTreatment
chosen
Indicates that a subject is associated with, or described by, a theoretical explanation, model, or framework addressing it.
-
C.
logicSystem
Indicates a relationship where an entity is associated with, defined within, or governed by a particular logical framework or system of formal reasoning.
-
D.
paradoxType
Indicates the specific kind or category of paradox that characterizes the relationship or situation.
-
E.
treats
Indicates that one entity provides medical care or therapeutic intervention to 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.