Triple
T6524592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Workplace from Meta |
E151269
|
entity |
| Predicate | dataSegregation |
P71408
|
FINISHED |
| Object | separate from consumer Facebook accounts |
—
|
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: separate from consumer Facebook accounts | Statement: [Workplace from Meta, dataSegregation, separate from consumer Facebook accounts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dataSegregation Context triple: [Workplace from Meta, dataSegregation, separate from consumer Facebook accounts]
-
A.
dataPolicy
Indicates that one entity defines or governs how data related to another entity is collected, used, stored, or shared.
-
B.
securityClassification
Indicates the level or category of security sensitivity or access restriction assigned to an entity.
-
C.
dataSubject
Indicates that one entity is the individual to whom the personal data or information in question relates.
-
D.
confidentialityProtectedBy
Indicates that the confidentiality of some information is safeguarded or ensured by a specified protection mechanism, policy, or entity.
-
E.
hasDataProtectionAuthority
Indicates that an entity is subject to, overseen by, or associated with a specific data protection authority responsible for regulating its handling of personal data.
- 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_69c687f522748190b3058405553cdabd |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ad9831f88190a2b64cf6bc8c9a11 |
completed | March 27, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69c68abbc7148190a8270d47fe10cc31 |
completed | March 27, 2026, 1:48 p.m. |
| PDg | Predicate description generation | batch_69c69f362ee4819090e8fa48caef7d7d |
completed | March 27, 2026, 3:16 p.m. |
Created at: March 27, 2026, 1:45 p.m.