Triple
T20885063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | linear logic |
E514255
|
entity |
| Predicate | restoresStructuralRulesVia |
P142242
|
FINISHED |
| Object | exponential modalities |
—
|
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: exponential modalities | Statement: [linear logic, restoresStructuralRulesVia, exponential modalities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: restoresStructuralRulesVia Context triple: [linear logic, restoresStructuralRulesVia, exponential modalities]
-
A.
restorationOfProprietaryRule
Indicates the reestablishment of a previously held proprietary or ownership-based control or governance over something after it had been changed, interrupted, or removed.
-
B.
replacedStructure
Indicates that one structure has been substituted for, or taken the place of, another structure.
-
C.
reusesStructureOf
Indicates that one entity adopts or incorporates the structural design or organization of another entity.
-
D.
resetRule
Indicates that a rule is returned to its initial or default state, typically clearing any prior changes or accumulated effects.
-
E.
setsRulesFor
Indicates that one entity establishes or defines rules, guidelines, or constraints that another entity is expected to follow.
- 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_69e0b4f733f081908a401c0b7beb0b9f |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c67c9d1c81908031eb77c124f119 |
completed | April 21, 2026, 12:36 a.m. |
| PD | Predicate disambiguation | batch_69e5c9a8dc148190b33ff51894e2a8f9 |
completed | April 20, 2026, 6:37 a.m. |
| PDg | Predicate description generation | batch_69e5d53c4d6881909b4d0a716fa5ed4a |
completed | April 20, 2026, 7:26 a.m. |
Created at: April 16, 2026, 12:46 p.m.