Triple
T9027993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Developer Transition Kit for Apple silicon |
E216094
|
entity |
| Predicate | availabilityStart |
P85953
|
FINISHED |
| Object | 2020-06 |
—
|
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: 2020-06 | Statement: [Developer Transition Kit for Apple silicon, availabilityStart, 2020-06]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: availabilityStart Context triple: [Developer Transition Kit for Apple silicon, availabilityStart, 2020-06]
-
A.
availabilityModel
Indicates how and under what conditions an entity is available for use, access, or interaction.
-
B.
availableFor
Indicates that one entity can be used, accessed, or allocated for the benefit, purpose, or use of another entity.
-
C.
availableAs
Indicates that one entity can be used, accessed, or offered in the form, role, or capacity of another entity.
-
D.
availabilityStatus
Indicates the current state of whether something is obtainable, usable, or accessible at a given time.
-
E.
initialAvailability
Indicates the starting level or state of availability of an entity before any changes or updates occur.
- F. None of above. chosen
Provenance (4 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_69ca83a5fa88819088144801b4dd7245 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6a7fcb308190af90d6be8700e498 |
completed | April 1, 2026, 12:44 a.m. |
| PD | Predicate disambiguation | batch_69cc5ee132f08190940749c7c522e4c1 |
completed | March 31, 2026, 11:55 p.m. |
| PDg | Predicate description generation | batch_69cc5f887108819096d45a186fc137b3 |
completed | March 31, 2026, 11:58 p.m. |
Created at: March 30, 2026, 7:07 p.m.