Triple
T9897508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Windows Update |
E182212
|
entity |
| Predicate | updatesType |
P91047
|
FINISHED |
| Object | security 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: security updates | Statement: [Windows Update, updatesType, security updates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: updatesType Context triple: [Windows Update, updatesType, security updates]
-
A.
updated
Indicates that an entity has been modified or brought to a more recent state compared to its previous version or status.
-
B.
updatedIn
Indicates that an entity has undergone a change or modification within a specified time period or version context.
-
C.
updatesVersionOf
Indicates that one entity is a newer or modified version that replaces or supersedes another entity.
-
D.
upgradeType
Indicates the specific kind or category of improvement or enhancement applied to an entity relative to its previous state.
-
E.
qualityUpdateType
Indicates the specific kind of change or modification applied to an entity’s quality or quality-related status.
- 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_69ca82876f8081909cf75df0f99bb13f |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb4ab15f881909f75a8e01051dbc4 |
completed | April 2, 2026, 12:13 a.m. |
| PD | Predicate disambiguation | batch_69cd1d872d50819096b7ab166a8decf1 |
completed | April 1, 2026, 1:28 p.m. |
| PDg | Predicate description generation | batch_69cd3581a9688190a00cef4c3eebb0ae |
completed | April 1, 2026, 3:10 p.m. |
Created at: March 30, 2026, 8:40 p.m.