Triple
T5894617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vuex |
E131072
|
entity |
| Predicate | asyncHandlingMechanism |
P55126
|
FINISHED |
| Object | actions |
—
|
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: actions | Statement: [Vuex, asyncHandlingMechanism, actions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: asyncHandlingMechanism Context triple: [Vuex, asyncHandlingMechanism, actions]
-
A.
followUpMechanism
Indicates a mechanism or process that is used to continue, monitor, or respond to a prior action, event, or communication.
-
B.
activationMechanism
Indicates the process or method by which one entity initiates, triggers, or enables the activity or functioning of another entity.
-
C.
isAsynchronous
chosen
Indicates that the related process, operation, or interaction occurs without requiring simultaneous timing or immediate coordination between the involved entities.
-
D.
loadingMechanism
Indicates the method or system by which something is loaded into or onto another object or structure.
-
E.
deploymentMechanism
Indicates the method or process by which something is deployed, delivered, or made operational in its target environment.
- 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_69c00857439c819095950754176aa58a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0400f1af881908d376ea4793f6dea |
completed | March 22, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_69c0334dc8248190b7394dcece362d52 |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 3:58 p.m.