Triple
T17021434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | argument from degrees of perfection |
E412954
|
entity |
| Predicate | identifiesMaximumWith |
P125538
|
FINISHED |
| Object | cause of all perfections in other things |
—
|
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: cause of all perfections in other things | Statement: [argument from degrees of perfection, identifiesMaximumWith, cause of all perfections in other things]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: identifiesMaximumWith Context triple: [argument from degrees of perfection, identifiesMaximumWith, cause of all perfections in other things]
-
A.
isMaximumWhen
Indicates that a quantity or function reaches its greatest possible value under specified conditions or at a particular point.
-
B.
maximumNumber
Indicates that one entity specifies the highest allowable or observed quantity, value, or count associated with another entity.
-
C.
definesMaximum
Indicates that one entity specifies or sets the upper limit or greatest allowable value for another entity.
-
D.
isLargestOf
Indicates that one entity has the greatest size, extent, or magnitude among a specified set of entities.
-
E.
maximumFrequency
Indicates the highest number of times a particular event, value, or occurrence appears within a given set or context.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69e3753f93c88190808fec5692f66699 |
completed | April 18, 2026, 12:12 p.m. |
Created at: April 10, 2026, 5:33 a.m.