Triple
T7933154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Artifact Registry |
E184228
|
entity |
| Predicate | supportsOrganizationPolicyConstraint |
P79852
|
FINISHED |
| Object | restricting artifact locations |
—
|
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: restricting artifact locations | Statement: [Artifact Registry, supportsOrganizationPolicyConstraint, restricting artifact locations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsOrganizationPolicyConstraint Context triple: [Artifact Registry, supportsOrganizationPolicyConstraint, restricting artifact locations]
-
A.
hasPolicySupport
Indicates that one entity provides endorsement, backing, or approval for a specific policy associated with another entity.
-
B.
supportsPolicy
Indicates that one entity endorses, backs, or is in favor of a particular policy or set of policies.
-
C.
containsPolicyOn
Indicates that one entity includes, references, or incorporates a specific policy within it.
-
D.
hasEnrollmentPolicy
Indicates that there is a specific rule or set of rules governing who may enroll in, access, or participate in something and under what conditions.
-
E.
supportsOrganizationUseCase
Indicates that one entity provides the necessary functionality or conditions for an organization to carry out a specific use case or operational scenario.
- 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_69ca8290c21c8190906a5ca6fe2b03c4 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3acfd2a88190b1a13cd6fdedc272 |
completed | March 31, 2026, 3:09 a.m. |
| PD | Predicate disambiguation | batch_69cae9335f288190ba96781fd6576a2b |
completed | March 30, 2026, 9:20 p.m. |
| PDg | Predicate description generation | batch_69caf7882b048190baa333af9f698590 |
completed | March 30, 2026, 10:22 p.m. |
Created at: March 30, 2026, 5:08 p.m.