Triple
T34442475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PEP 613 TypeAlias annotation |
E884132
|
entity |
| Predicate | TypeAliasIs |
P111098
|
FINISHED |
| Object | special typing marker |
—
|
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: special typing marker | Statement: [PEP 613 TypeAlias annotation, TypeAliasIs, special typing marker]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: TypeAliasIs Context triple: [PEP 613 TypeAlias annotation, TypeAliasIs, special typing marker]
-
A.
aliasType
Indicates that one name or label is an alternative designation of a specific kind or category for another entity.
-
B.
isAliasOf
chosen
Indicates that one name, label, or identifier refers to the same entity as another.
-
C.
usesAliasIn
Indicates that one entity operates under or refers to another entity by an alternative name or alias within a specific context.
-
D.
usesAliasWith
Indicates that one entity employs or operates under an alternative name or identifier in association with another entity.
-
E.
usesAliasFor
Indicates that one entity employs an alternative name or identifier to refer to 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_69f349c548d88190978e2a82502c03d0 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7194aaa648190b9f9ec27dab3d8e9 |
completed | May 3, 2026, 9:45 a.m. |
| PD | Predicate disambiguation | batch_69f71824431081908d9685d2462ea242 |
completed | May 3, 2026, 9:40 a.m. |
Created at: May 1, 2026, 2 a.m.