Triple
T27874573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Google Compute Engine |
E704891
|
entity |
| Predicate | securityFeature |
P2368
|
FINISHED |
| Object |
Shielded VM
Shielded VM is a Google Cloud virtual machine technology designed to provide enhanced security and integrity through features like secure boot, virtual trusted platform modules (vTPMs), and protection against rootkits and boot-level malware.
|
E1794085
|
NE 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: Shielded VM | Statement: [Google Compute Engine, securityFeature, Shielded VM]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Shielded VM Triple: [Google Compute Engine, securityFeature, Shielded VM]
Generated description
Shielded VM is a Google Cloud virtual machine technology designed to provide enhanced security and integrity through features like secure boot, virtual trusted platform modules (vTPMs), and protection against rootkits and boot-level malware.
Provenance (5 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_69ef84111bb4819084298f994b31c62f |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f6397e95908190bae6cfcd65e3fc20 |
completed | May 2, 2026, 5:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a13034eb2188190a44ccd3ffdaf55a2 |
completed | May 24, 2026, 1:55 p.m. |
| NEDg | Description generation | batch_6a1303fd53888190856a4b6e2b5f5dd5 |
completed | May 24, 2026, 1:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a1304b2a0c481909283b9cafea6b075 |
completed | May 24, 2026, 2:01 p.m. |
Created at: April 27, 2026, 6:26 p.m.