Triple
T31557354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rapid Security Response |
E805163
|
entity |
| Predicate | exampleVersionLabel |
P83351
|
FINISHED |
| Object | macOS 13.3.1 (a) |
—
|
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: macOS 13.3.1 (a) | Statement: [Rapid Security Response, exampleVersionLabel, macOS 13.3.1 (a)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exampleVersionLabel Context triple: [Rapid Security Response, exampleVersionLabel, macOS 13.3.1 (a)]
-
A.
coveredVersionLabel
Indicates that one version’s label is included within or accounted for by another version in a coverage relationship.
-
B.
exportVersion
Indicates the specific release or revision identifier of an item as it is prepared for or used in export.
-
C.
exportVersionOf
Indicates that one entity is a version of another specifically created or designated for export (e.g., for external distribution or use).
-
D.
versionExample
chosen
Indicates that one entity serves as an example or illustrative instance of a particular version of another entity.
-
E.
versionOf
Indicates that one entity is a specific form, edition, or variant derived from or corresponding to 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_69f348d22e088190ad555d5bd42f9da0 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a8055f8081908f635fe04654b5fe |
completed | May 3, 2026, 1:42 a.m. |
| PD | Predicate disambiguation | batch_69f6a75656e081908739ed9e2f600e42 |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 30, 2026, 10:13 p.m.