Triple
T8285732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qumranet |
E193781
|
entity |
| Predicate | acquisitionPurposeForRedHat |
P76662
|
FINISHED |
| Object | strengthen virtualization portfolio |
—
|
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: strengthen virtualization portfolio | Statement: [Qumranet, acquisitionPurposeForRedHat, strengthen virtualization portfolio]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: acquisitionPurposeForRedHat Context triple: [Qumranet, acquisitionPurposeForRedHat, strengthen virtualization portfolio]
-
A.
reasonForAcquisition
chosen
Indicates the underlying purpose, motive, or justification for which one entity acquires another entity or asset.
-
B.
acquisitionType
Indicates the specific kind or category of acquisition relationship that exists between entities (such as a company buying another company, assets, or a controlling stake).
-
C.
reasonForUse
Indicates that one entity specifies the justification, purpose, or motivation for using another entity.
-
D.
roleInAcquisition
Indicates that an entity holds a specific role or function within an acquisition event or transaction.
-
E.
acquisitionScope
Indicates the extent, boundaries, or coverage of what is obtained or brought under control through an acquisition.
- 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.