Triple
T8285728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qumranet |
E193781
|
entity |
| Predicate | SPICEUsedIn |
P6829
|
FINISHED |
| Object | virtual desktop infrastructure solutions |
—
|
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: virtual desktop infrastructure solutions | Statement: [Qumranet, SPICEUsedIn, virtual desktop infrastructure solutions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: SPICEUsedIn Context triple: [Qumranet, SPICEUsedIn, virtual desktop infrastructure solutions]
-
A.
areUsedIn
Indicates that certain entities serve as components, tools, or resources within a particular process, context, or application.
-
B.
isFamouslyUsedIn
Indicates that something is widely recognized or well-known for being used in a particular context, work, or situation.
-
C.
hasSpice
Indicates that one entity contains, includes, or is characterized by a particular spice or set of spices.
-
D.
eraUsedIn
Indicates that something (such as a method, standard, or practice) was in active use during a specified historical or temporal era.
-
E.
alsoUsedIn
chosen
Indicates that something is additionally employed, applied, or present in another context, setting, or use case beyond the primary one.
- 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_69ca82e32db481908b72f3804fa71152 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7ad20ae481908179aba245c73fad |
completed | March 31, 2026, 7:42 a.m. |
| PD | Predicate disambiguation | batch_69cb70ad9fc081908741f8c4a4141edf |
completed | March 31, 2026, 6:58 a.m. |
Created at: March 30, 2026, 5:52 p.m.