Triple
T36872598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | typing.NewType |
E911260
|
entity |
| Predicate | discouragedPattern |
P37640
|
FINISHED |
| Object | nesting NewType over another NewType |
—
|
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: nesting NewType over another NewType | Statement: [typing.NewType, discouragedPattern, nesting NewType over another NewType]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: discouragedPattern Context triple: [typing.NewType, discouragedPattern, nesting NewType over another NewType]
-
A.
discourages
Indicates an action or influence that deters, dissuades, or reduces the likelihood of someone performing a particular behavior or pursuing a certain outcome.
-
B.
discouragedSince
Indicates that an entity has been experiencing discouragement continuously from a specified point in time onward.
-
C.
discouragedUsageReason
chosen
Indicates the reason why a particular usage, action, or practice is considered discouraged.
-
D.
stopsPattern
Indicates that one entity halts, interrupts, or prevents the continuation of a recurring or structured pattern involving another entity.
-
E.
notRecommendedBy
Indicates that one entity explicitly advises against or does not endorse 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_69f76e82339881909607a65c0503d941 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fcc4b700748190ae00b21d09c96695 |
completed | May 7, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69fcb0f9d3d881908a049475182fb039 |
completed | May 7, 2026, 3:34 p.m. |
Created at: May 3, 2026, 4:13 p.m.