Triple
T34442526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PEP 647 TypeGuard |
E884133
|
entity |
| Predicate | runtimeEffect |
P178947
|
FINISHED |
| Object | no direct runtime enforcement |
—
|
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: no direct runtime enforcement | Statement: [PEP 647 TypeGuard, runtimeEffect, no direct runtime enforcement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: runtimeEffect Context triple: [PEP 647 TypeGuard, runtimeEffect, no direct runtime enforcement]
-
A.
usesEffect
Indicates that one entity employs or applies a particular effect to influence or modify another entity or outcome.
-
B.
sideEffect
Indicates that one entity is an unintended or secondary effect resulting from the use or occurrence of another entity.
-
C.
sideEffectManagement
Indicates the relationship in which an action or intervention is used to monitor, reduce, or control the side effects caused by another action, treatment, or condition.
-
D.
testsEffect
Indicates that one entity evaluates or measures the effect or impact that another entity has.
-
E.
usesEffectType
Indicates that an entity employs or is associated with a particular type or category of effect in its operation or behavior.
- 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_69f349c548d88190978e2a82502c03d0 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f719cc31ec819099bebcf833b14d76 |
completed | May 3, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69f71824431081908d9685d2462ea242 |
completed | May 3, 2026, 9:40 a.m. |
| PDg | Predicate description generation | batch_69f719458378819081725f544efb1173 |
completed | May 3, 2026, 9:45 a.m. |
Created at: May 1, 2026, 2 a.m.