Triple
T21226720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Policy Control Function |
E523101
|
entity |
| Predicate | derivesPoliciesFrom |
P141280
|
FINISHED |
| Object | subscriber data |
—
|
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: subscriber data | Statement: [Policy Control Function, derivesPoliciesFrom, subscriber data]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: derivesPoliciesFrom Context triple: [Policy Control Function, derivesPoliciesFrom, subscriber data]
-
A.
appliesPoliciesOf
chosen
Indicates that one entity enforces, follows, or implements the policies that originate from or are defined by another entity.
-
B.
implementsPolicyFrom
Indicates that one entity carries out, enforces, or operationalizes a policy that originates from another entity.
-
C.
appliesPolicyOn
Indicates that one entity enforces, executes, or brings into effect a specific policy on another entity or context.
-
D.
establishedPolicy
Indicates that a policy has been formally created, adopted, and put into effect as a guiding rule or standard.
-
E.
usesPolicyModel
Indicates that one entity applies, relies on, or operates according to a particular policy model.
- 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_69e0b512ad94819087942b2ed925185f |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e734ac42a08190b95a24acf5f0779b |
completed | April 21, 2026, 8:26 a.m. |
| PD | Predicate disambiguation | batch_69e5f60e1a888190ba75e2e900270a4e |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 3:44 p.m.