Triple
T1166121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Svelte |
E24802
|
entity |
| Predicate | runtimeModel |
P15683
|
FINISHED |
| Object | no virtual DOM |
—
|
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: no virtual DOM | Statement: [Svelte, runtimeModel, no virtual DOM]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: runtimeModel Context triple: [Svelte, runtimeModel, no virtual DOM]
-
A.
executionModel
Indicates how a process, task, or operation is carried out or implemented, specifying the underlying method, strategy, or mechanism of its execution.
-
B.
renderingModel
chosen
Indicates the specific rendering engine or model used to generate the visual or graphical output for an entity.
-
C.
concurrentModel
Indicates that two or more processes, activities, or states occur or are valid at the same time, potentially interacting or overlapping in execution.
-
D.
executionEngine
Indicates the mechanism or component responsible for carrying out, managing, or running a defined process, task, or set of operations.
-
E.
usedProgramModel
Indicates that an entity employed a specific program model as the basis or framework for its activities or operations.
- 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_69a494082a7c819095004f423f294a64 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bccc62a88190882d8801908015a4 |
completed | March 1, 2026, 10:25 p.m. |
| PD | Predicate disambiguation | batch_69a4bb548c1481909092626c572d8782 |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:45 p.m.