Triple
T7897934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | gRPC |
E183379
|
entity |
| Predicate | supportsLoadBalancingPolicy |
P1086
|
FINISHED |
| Object | round_robin |
—
|
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: round_robin | Statement: [gRPC, supportsLoadBalancingPolicy, round_robin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsLoadBalancingPolicy Context triple: [gRPC, supportsLoadBalancingPolicy, round_robin]
-
A.
hasPolicySupport
Indicates that one entity provides endorsement, backing, or approval for a specific policy associated with another entity.
-
B.
supportsPolicy
chosen
Indicates that one entity endorses, backs, or is in favor of a particular policy or set of policies.
-
C.
supportsEqualCostMultipath
Indicates that a system or component can use multiple paths with equal cost simultaneously for load balancing or redundancy.
-
D.
hasKeyPolicy
Indicates that an entity is associated with a specific key management or access control policy governing how its keys may be used or managed.
-
E.
hasLightingPolicy
Indicates that there is a defined policy or set of rules governing how lighting is used, managed, or controlled for the related entity.
- 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_69ca828d13088190b222be7aa9f9315c |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a296db8819084c620b12f77acb5 |
completed | March 31, 2026, 3:06 a.m. |
| PD | Predicate disambiguation | batch_69cae92d94448190b4425bbfb64c658c |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 5:01 p.m.