Triple
T16853084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LG G series |
E409721
|
entity |
| Predicate | hasModel |
P2390
|
FINISHED |
| Object |
LG G6
The LG G6 is a 2017 flagship Android smartphone from LG, notable for its slim-bezel 18:9 display, dual rear cameras, and premium water-resistant design.
|
E1240747
|
NE FINISHED |
How this triple was built (4 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 G6 | Statement: [LG G series, hasModel, LG G6]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LG G6 Context triple: [LG G series, hasModel, LG G6]
-
A.
LG G5
The LG G5 is a modular Android smartphone released by LG in 2016, notable for its removable battery and support for plug-in hardware accessories.
-
B.
LG G3
The LG G3 is a 2014 flagship Android smartphone from LG, known for its high-resolution Quad HD display, laser autofocus camera, and slim-bezel design.
-
C.
LG G2
The LG G2 is a flagship Android smartphone released by LG in 2013, known for its slim bezels, rear-mounted buttons, and strong performance for its time.
-
D.
LG G4
The LG G4 is a 2015 flagship Android smartphone known for its sharp Quad HD display, strong camera performance, and optional leather-backed design.
-
E.
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.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: LG G6 Triple: [LG G series, hasModel, LG G6]
Generated description
The LG G6 is a 2017 flagship Android smartphone from LG, notable for its slim-bezel 18:9 display, dual rear cameras, and premium water-resistant design.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LG G6 Target entity description: The LG G6 is a 2017 flagship Android smartphone from LG, notable for its slim-bezel 18:9 display, dual rear cameras, and premium water-resistant design.
-
A.
LG G5
The LG G5 is a modular Android smartphone released by LG in 2016, notable for its removable battery and support for plug-in hardware accessories.
-
B.
LG G3
The LG G3 is a 2014 flagship Android smartphone from LG, known for its high-resolution Quad HD display, laser autofocus camera, and slim-bezel design.
-
C.
LG G2
The LG G2 is a flagship Android smartphone released by LG in 2013, known for its slim bezels, rear-mounted buttons, and strong performance for its time.
-
D.
LG G4
The LG G4 is a 2015 flagship Android smartphone known for its sharp Quad HD display, strong camera performance, and optional leather-backed design.
-
E.
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.
- F. None of above. chosen
Provenance (5 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_6a00cfc531c881908a33de8b491842ca |
completed | May 10, 2026, 6:34 p.m. |
| NEDg | Description generation | batch_6a00d08aa3fc8190aa32e2dac41992c3 |
completed | May 10, 2026, 6:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00d12511c88190ab0d5925cf930c66 |
completed | May 10, 2026, 6:40 p.m. |
Created at: April 10, 2026, 5:24 a.m.