Triple
T712557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | YouTube Shorts |
E14241
|
entity |
| Predicate | globalRolloutStart |
P7527
|
FINISHED |
| Object | 2021-03 |
—
|
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: 2021-03 | Statement: [YouTube Shorts, globalRolloutStart, 2021-03]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: globalRolloutStart Context triple: [YouTube Shorts, globalRolloutStart, 2021-03]
-
A.
revivalRunStart
Indicates the point in time or event at which a revival process or renewed operation begins.
-
B.
operationStart
Indicates the point in time or event at which a specific operation or process begins.
-
C.
initialReleaseWith
Indicates that two or more entities were first released together as part of the same initial release event or package.
-
D.
developmentBegan
Indicates that the process of creating or developing something was initiated at a particular time or under certain conditions.
-
E.
firstLargeDeployment
chosen
Indicates that this is the initial instance in which something is deployed at a large or significant scale.
- 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_69a4934a36e081909e7abef98b898a4e |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a77fcc6881908a025bb21e44ad56 |
completed | March 1, 2026, 8:54 p.m. |
| PD | Predicate disambiguation | batch_69a4a4f221b081909fbaa689fb20eb3e |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:36 p.m.