Triple
T17021427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | argument from degrees of perfection |
E412954
|
entity |
| Predicate | usesPremise |
P94852
|
FINISHED |
| Object | things exhibit varying degrees of perfection |
—
|
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: things exhibit varying degrees of perfection | Statement: [argument from degrees of perfection, usesPremise, things exhibit varying degrees of perfection]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesPremise Context triple: [argument from degrees of perfection, usesPremise, things exhibit varying degrees of perfection]
-
A.
hasPremise
chosen
Indicates that one statement, argument, or conclusion is supported or justified by another statement serving as its premise.
-
B.
usesPremisesCalled
Indicates that an entity employs or relies on specific premises that are identified or referred to by a given name or label.
-
C.
premise
Indicates that a statement or proposition provides the foundational assumption or starting point from which a conclusion or inference is logically derived.
-
D.
hasPremises
Indicates that one entity is supported, justified, or based on the premises provided by another entity.
-
E.
endedUseWith
Indicates that an entity has stopped or terminated its use or association with 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d5d0dc848190a267f8542dfb86a6 |
completed | April 18, 2026, 7:04 p.m. |
| PD | Predicate disambiguation | batch_69e35d5be7f48190af9db67a1e23850f |
completed | April 18, 2026, 10:30 a.m. |
Created at: April 10, 2026, 5:33 a.m.