Triple
T18015681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WSGIRestrictStdout |
E430992
|
entity |
| Predicate | effectWhenOff |
P33691
|
FINISHED |
| Object | allows writing directly to standard output from WSGI applications |
—
|
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: allows writing directly to standard output from WSGI applications | Statement: [WSGIRestrictStdout, effectWhenOff, allows writing directly to standard output from WSGI applications]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: effectWhenOff Context triple: [WSGIRestrictStdout, effectWhenOff, allows writing directly to standard output from WSGI applications]
-
A.
effectOfDisabling
chosen
Indicates the outcome or consequence that results when something is turned off, deactivated, or made nonfunctional.
-
B.
effectOnSystem
Indicates the influence, change, or impact that one entity, action, or condition has on the state or behavior of a system.
-
C.
effectOnUser
Indicates how an action, event, or condition influences or impacts a user.
-
D.
isOff
Indicates that an entity is currently inactive, powered down, or not in operation.
-
E.
effectOnOthers
Indicates the impact or influence that one entity’s actions, presence, or state has on other entities.
- 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_69d8b904530081908bf341d842464856 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b523f588819097389e067dda7f23 |
completed | April 19, 2026, 10:57 a.m. |
| PD | Predicate disambiguation | batch_69e3f904b8048190add43883cd7cb191 |
completed | April 18, 2026, 9:35 p.m. |
Created at: April 10, 2026, 10:24 a.m.