Triple
T31583055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Access control list |
E805874
|
entity |
| Predicate | policyModel |
P179523
|
FINISHED |
| Object | whitelisting |
—
|
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: whitelisting | Statement: [Access control list, policyModel, whitelisting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: policyModel Context triple: [Access control list, policyModel, whitelisting]
-
A.
policyName
Indicates the specific name or title assigned to a policy associated with an entity.
-
B.
policyResponseTo
Indicates a relationship where a policy is created, modified, or applied as a direct reaction to a specific event, condition, or prior action.
-
C.
policyTool
Indicates that an entity is a tool, mechanism, or instrument used to design, implement, or enforce a policy.
-
D.
policyElement
Indicates that something is a component or constituent part of a broader policy.
-
E.
policyPillar
Indicates that something (such as a program, measure, or objective) belongs to, supports, or is categorized under a particular policy pillar within a broader policy framework.
- 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_69f348d3a86c8190a3e5e539a4dd125f |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f722c1bc648190a79bfdc722dcaaa4 |
completed | May 3, 2026, 10:26 a.m. |
| PD | Predicate disambiguation | batch_69f72153a9188190b02adc84e1be4af8 |
completed | May 3, 2026, 10:20 a.m. |
| PDg | Predicate description generation | batch_69f7221bc57c819085c1464a45e61b2f |
completed | May 3, 2026, 10:23 a.m. |
Created at: April 30, 2026, 10:24 p.m.