Triple
T16904399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koo Cha-kyung |
E424520
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | LG Telecom |
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 Telecom | Statement: [Koo Cha-kyung, associatedWith, LG Telecom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LG Telecom Context triple: [Koo Cha-kyung, associatedWith, LG Telecom]
-
A.
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.
-
B.
Globe Telecom
Globe Telecom is a major Philippine telecommunications company that provides mobile, internet, and other digital communication services nationwide.
-
C.
LG Uplus
chosen
LG Uplus is a major South Korean telecommunications company providing mobile, internet, and other communication services.
-
D.
LG Mobile Communications
LG Mobile Communications was the mobile phone and smartphone division of LG Electronics, known for producing a wide range of feature phones and Android devices before exiting the smartphone market.
-
E.
ZTE
ZTE is a major Chinese telecommunications and technology company known for manufacturing network equipment and smartphones and competing globally with firms like Nokia and Huawei.
- 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_69d889da3e8c8190a2b118f383f0beac |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3c8df454c8190898ebdd75985e51c |
completed | April 18, 2026, 6:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c7b47a6081909d8609c2bce96d1a |
completed | May 10, 2026, 6 p.m. |
Created at: April 10, 2026, 5:30 a.m.