Triple
T17557779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lightning Web Components |
E427629
|
entity |
| Predicate | compatibleWith |
P203
|
FINISHED |
| Object | Aura components |
—
|
NE NERFINISHED |
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: Aura components | Statement: [Lightning Web Components, compatibleWith, Aura components]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aura components Context triple: [Lightning Web Components, compatibleWith, Aura components]
-
A.
Aura Components
chosen
Aura Components is Salesforce’s original component-based UI framework for building dynamic, client-side applications in Lightning Experience.
-
B.
Aura
Aura is a popular reggaeton and Latin trap album by Puerto Rican singer Ozuna, known for its melodic style and chart-topping hits.
-
C.
Aura
Aura is a contemporary classical composition by Italian avant-garde composer and conductor Bruno Maderna.
-
D.
Aura
Aura is a NASA Earth observation satellite focused on studying the atmosphere’s composition, air quality, and climate-related processes.
-
E.
Aura
Aura is a celestial body or orbital point that serves as the primary reference path for the object known as Nibiru.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889df6dc081908f67dbadc03c07ee |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4562413d08190acaa5272046d3626 |
completed | April 19, 2026, 4:12 a.m. |
Created at: April 10, 2026, 5:50 a.m.