Triple
T21091650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RIP |
E519651
|
entity |
| Predicate | supportsLoadBalancing |
P104472
|
FINISHED |
| Object | equal-cost multipath |
—
|
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: equal-cost multipath | Statement: [RIP, supportsLoadBalancing, equal-cost multipath]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsLoadBalancing Context triple: [RIP, supportsLoadBalancing, equal-cost multipath]
-
A.
offersLoadBalancerType
chosen
Indicates that a provider or system makes a particular type of load balancer available for use.
-
B.
supportsRateLimiting
Indicates that one entity provides or is compatible with mechanisms to restrict the rate at which another entity can perform actions or process requests.
-
C.
usesDoubleRoundRobin
Indicates that a process, system, or competition is organized using a double round-robin format, where each participant interacts with every other participant twice.
-
D.
supportsOperationsWith
Indicates that one entity enables, facilitates, or is compatible with the execution of operations involving another entity.
-
E.
supportsDataCenterAbstraction
Indicates that one entity provides or enables an abstraction layer for representing or managing data center resources or functionality.
- 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_69e0b507dd9081908fb8bfcbef4c8b46 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7094f6ebc8190a90b014755a9d4a6 |
completed | April 21, 2026, 5:21 a.m. |
| PD | Predicate disambiguation | batch_69e5dbfcd5e881908f1e4e0d2d237856 |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 2:51 p.m.