Triple
T34442454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PEP 613 TypeAlias annotation |
E884132
|
entity |
| Predicate | introducedMarker |
P2130
|
FINISHED |
| Object | TypeAlias |
—
|
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: TypeAlias | Statement: [PEP 613 TypeAlias annotation, introducedMarker, TypeAlias]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducedMarker Context triple: [PEP 613 TypeAlias annotation, introducedMarker, TypeAlias]
-
A.
introducedToMark
Indicates that one entity caused or facilitated another entity becoming acquainted with Mark.
-
B.
hasMarker
chosen
Indicates that one entity possesses, is associated with, or is identified by a specific marker.
-
C.
introduced
Indicates that one entity caused another entity to become known, presented, or brought into use for the first time to a person, group, or context.
-
D.
marker
Indicates a relationship where one entity serves as a sign, label, or indicator that identifies, distinguishes, or signals a property or status of another entity.
-
E.
introducedBefore
Indicates that one entity was introduced or presented earlier in time than 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_69fddf721c1481909301a0f379368f10 |
completed | May 8, 2026, 1:04 p.m. |
| PD | Predicate disambiguation | batch_69fddda1ae7c8190b5848ff9a9e39826 |
completed | May 8, 2026, 12:57 p.m. |
Created at: May 1, 2026, 2 a.m.