Triple
T16853129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LG Velvet |
E409722
|
entity |
| Predicate | hasModel |
P2390
|
FINISHED |
| Object | LG Velvet 5G UW |
E409722
|
NE 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: LG Velvet 5G UW | Statement: [LG Velvet, hasModel, LG Velvet 5G UW]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LG Velvet 5G UW Context triple: [LG Velvet, hasModel, LG Velvet 5G UW]
-
A.
LG Velvet smartphones
chosen
LG Velvet smartphones are mid-range Android devices from LG known for their sleek, premium design, curved OLED displays, and emphasis on style over flagship-level performance.
-
B.
LG VS
LG VS is a business division of LG focused on developing and supplying automotive components and solutions for vehicle manufacturers.
-
C.
LG G Flex
The LG G Flex is a curved-screen Android smartphone by LG, notable for its flexible display and self-healing back cover.
-
D.
LG 1
LG 1 is the abbreviated designation for Training Wing 1, a military aviation training formation.
-
E.
The LG Experience
The LG Experience is a music project associated with NBA legend and rapper Shaquille O’Neal, known by his stage name Shaq Diesel.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d88395e6c88190b22730f335107c14 |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b37abadc81909d02d329403497d6 |
completed | April 18, 2026, 4:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c7a08be48190bd2dbf83205c83ad |
completed | May 10, 2026, 6 p.m. |
Created at: April 10, 2026, 5:24 a.m.