Triple
T1720142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | General Availability Channel |
E37370
|
entity |
| Predicate | testingLevel |
P31955
|
FINISHED |
| Object | fully tested updates |
—
|
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: fully tested updates | Statement: [General Availability Channel, testingLevel, fully tested updates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: testingLevel Context triple: [General Availability Channel, testingLevel, fully tested updates]
-
A.
trainingLevel
Indicates the degree or stage of training or skill development that an entity has attained.
-
B.
testType
Indicates the specific category or kind of test associated with an entity or event.
-
C.
testingTheWaters
Indicates exploring or trying something cautiously on a small scale to gauge reactions, risks, or outcomes before committing further.
-
D.
automationLevel
Indicates the degree to which a process, task, or system is performed automatically rather than manually.
-
E.
intelligenceLevel
Indicates the degree or measure of cognitive ability or intelligence attributed to an entity.
- 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_69a8861912dc8190931af43b4b9158a7 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69ab5c96db6c8190a745d6fef7bf2cdb |
completed | March 6, 2026, 11 p.m. |
| PD | Predicate disambiguation | batch_69aa61bed2fc819086d912cd34285978 |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69ab5c7780bc81909fc6e173a216cb0b |
completed | March 6, 2026, 11 p.m. |
Created at: March 4, 2026, 7:30 p.m.