Triple
T37657474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Azure Disk Encryption |
E937637
|
entity |
| Predicate | helpsMeet |
P189088
|
FINISHED |
| Object | regulatory requirements for data protection |
—
|
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: regulatory requirements for data protection | Statement: [Azure Disk Encryption, helpsMeet, regulatory requirements for data protection]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: helpsMeet Context triple: [Azure Disk Encryption, helpsMeet, regulatory requirements for data protection]
-
A.
meetsVia
Indicates that two entities come into contact or interact with each other through a specified intermediary medium, channel, or mechanism.
-
B.
meetingPartner
Indicates that two entities are participants in the same meeting, standing in a mutual partner or counterpart relationship within that meeting.
-
C.
meetsBy
Indicates that one entity encounters or comes together with another entity, typically at a specific time or place.
-
D.
plansMeetingWith
Indicates that one entity arranges or intends to organize a meeting involving another entity.
-
E.
homeMeetsVenue
Indicates that a home team plays its scheduled match at a specified venue.
- F. None of above. chosen
Provenance (4 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_69f76ed6df7c8190b018e5baea716ceb |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbb084760c8190a1554985d3c3cb7a |
completed | May 6, 2026, 9:20 p.m. |
| PD | Predicate disambiguation | batch_69fbadf3cb548190ba3b7514f76b790a |
completed | May 6, 2026, 9:09 p.m. |
| PDg | Predicate description generation | batch_69fbb083ab708190a18b045311106f27 |
completed | May 6, 2026, 9:20 p.m. |
Created at: May 3, 2026, 4:18 p.m.