Triple
T4154215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | America/Winnipeg |
E89976
|
entity |
| Predicate | softwareUsage |
P10387
|
FINISHED |
| Object | operating systems |
—
|
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: operating systems | Statement: [America/Winnipeg, softwareUsage, operating systems]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: softwareUsage Context triple: [America/Winnipeg, softwareUsage, operating systems]
-
A.
programUsed
Indicates that a particular program, software, or application was employed or utilized in performing an action or achieving a result.
-
B.
platformUsage
Indicates how an entity uses, engages with, or relies on a particular platform for its activities or services.
-
C.
usesSoftware
chosen
Indicates that one entity employs or operates a particular software application or system to perform tasks or functions.
-
D.
technologyUse
Indicates the use or application of a particular technology by an entity to perform an action or achieve a purpose.
-
E.
applicationRequirement
Indicates that one entity specifies a condition or prerequisite that must be met for the use, approval, or execution of another entity or process.
- 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_69aed95a59a881909b26e70b42c6811a |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af033ef6648190adde17f943d89c78 |
completed | March 9, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69af018c101081909070da5b11e5eb3d |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:44 p.m.