Triple
T5964367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | React Native |
E132715
|
entity |
| Predicate | usesUIModel |
P37433
|
FINISHED |
| Object | virtual DOM-like reconciliation |
—
|
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: virtual DOM-like reconciliation | Statement: [React Native, usesUIModel, virtual DOM-like reconciliation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesUIModel Context triple: [React Native, usesUIModel, virtual DOM-like reconciliation]
-
A.
useOfModel
chosen
Indicates that one entity employs, applies, or relies on a particular model for a specific purpose or task.
-
B.
usedProgramModel
Indicates that an entity employed a specific program model as the basis or framework for its activities or operations.
-
C.
userInterface
Indicates a relationship where one entity serves as the interface or interaction layer through which a user engages with another system, service, or resource.
-
D.
usedByModel
Indicates that something (such as a resource, method, or component) is utilized or consumed by a particular model.
-
E.
usesForm
Indicates that one entity employs, applies, or operates through a particular form, format, or structured representation of something.
- 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_69c0086c2364819091e9fe2f58fa2517 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c03fb7f8a88190a8bd45208bda4a03 |
completed | March 22, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69c0335a635881909c58c1ef0f97f1e8 |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 4:03 p.m.