Triple
T26399133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VRRP |
E663651
|
entity |
| Predicate | supportsPreemption |
P143269
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [VRRP, supportsPreemption, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsPreemption Context triple: [VRRP, supportsPreemption, true]
-
A.
preemptionCapabilityValues
chosen
Indicates the degree or type of preemption capability one entity has in relation to another, such as its ability to interrupt, override, or take priority over existing actions or claims.
-
B.
supportsSuspension
Indicates that one entity provides the necessary structure, strength, or mechanism to hold or keep another entity suspended.
-
C.
preempts
Indicates that one action, decision, or rule takes priority over and prevents the application or effect of another.
-
D.
supportsInterrupt
Indicates that one entity is capable of handling or accommodating an interruption initiated by another entity.
-
E.
preemptionVulnerabilityValues
Indicates how susceptible something is to being preempted or overridden, typically quantified or categorized as specific vulnerability values.
- 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_69ee883823988190b418b111be28a44a |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69fe86cad5108190b0164b8bc6fc23ea |
completed | May 9, 2026, 12:58 a.m. |
| PD | Predicate disambiguation | batch_69fe83c0c9888190b6fc40c7f727b569 |
completed | May 9, 2026, 12:45 a.m. |
Created at: April 26, 2026, 11:30 p.m.