Triple
T36872588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | typing.NewType |
E911260
|
entity |
| Predicate | createdTypeAttribute |
P56536
|
FINISHED |
| Object | __supertype__ |
—
|
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: __supertype__ | Statement: [typing.NewType, createdTypeAttribute, __supertype__]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: createdTypeAttribute Context triple: [typing.NewType, createdTypeAttribute, __supertype__]
-
A.
createdEntityType
Indicates the type or category of entity that was produced or brought into existence as a result of the creation action.
-
B.
attributeType
Indicates that one entity specifies the kind or category of attribute that characterizes another entity.
-
C.
definesType
chosen
Indicates that one entity specifies or establishes the type or classification of another entity.
-
D.
createdNewSentenceType
Indicates that an entity has produced or defined a previously nonexistent type or category of sentence.
-
E.
creationType
Indicates the manner or process by which something was brought into existence or produced.
- 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_69ffbb1c5bf88190a0bf791213045885 |
completed | May 9, 2026, 10:54 p.m. |
| PD | Predicate disambiguation | batch_69ffba0ab0f881908f84ef81f7a1bfe8 |
completed | May 9, 2026, 10:49 p.m. |
Created at: May 3, 2026, 4:13 p.m.