Triple
T17097359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LG Group |
E414882
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object | LG Uplus |
E409708
|
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 Uplus | Statement: [LG Group, hasSubsidiary, LG Uplus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LG Uplus Context triple: [LG Group, hasSubsidiary, LG Uplus]
-
A.
LG Uplus
chosen
LG Uplus is a major South Korean telecommunications company providing mobile, internet, and other communication services.
-
B.
SK Telecom
SK Telecom is South Korea’s largest mobile network operator, known for its advanced 5G services and leading role in the country’s telecommunications industry.
-
C.
Rakuten Mobile
Rakuten Mobile is a Japanese mobile network operator and telecommunications brand owned by the e-commerce company Rakuten, known for its low-cost, fully virtualized mobile network services.
-
D.
Smart Communications
Smart Communications is a major Philippine telecommunications company providing mobile, internet, and digital communication services nationwide.
-
E.
Smart Telecom
Smart Telecom is a Nepalese telecommunications company that operates as one of the country’s major mobile network providers.
- 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_69d886cfc8e88190b05ba466edd35591 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbfe92988190aa066745ca9791d5 |
completed | April 18, 2026, 7:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012eedfd7c8190b267dedd403f5f2b |
completed | May 11, 2026, 1:20 a.m. |
Created at: April 10, 2026, 5:35 a.m.