Triple
T16946246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LG V series |
E411075
|
entity |
| Predicate | hasModel |
P2390
|
FINISHED |
| Object | LG V30S ThinQ |
E1244802
|
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 V30S ThinQ | Statement: [LG V series, hasModel, LG V30S ThinQ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LG V30S ThinQ Context triple: [LG V series, hasModel, LG V30S ThinQ]
-
A.
LG V30
chosen
The LG V30 is a high-end Android smartphone released by LG in 2017, known for its OLED display, dual-camera system with wide-angle lens, and focus on multimedia performance.
-
B.
LG V20
The LG V20 is a high-end Android smartphone released in 2016, known for its dual-screen design, advanced audio features, and focus on multimedia performance.
-
C.
LG G7 ThinQ
The LG G7 ThinQ is a high-end Android smartphone from LG featuring a bright "Super Bright" display, AI-enhanced camera capabilities, and premium audio with a Boombox speaker and Quad DAC.
-
D.
LG V10
The LG V10 is a high-end Android smartphone known for its secondary ticker display, dual front cameras, and durable design.
-
E.
LG G8 ThinQ
The LG G8 ThinQ is a high-end Android smartphone known for its OLED display, advanced audio features, and experimental gesture-based controls.
- 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_69d886c886688190967be07322597ac9 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cfb25e0c8190948e62d9575ae9cd |
completed | April 18, 2026, 6:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b3d9c648190bd0437c2f1e19b41 |
completed | May 10, 2026, 11:56 p.m. |
Created at: April 10, 2026, 5:31 a.m.