Triple
T17097364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LG Group |
E414882
|
entity |
| Predicate | hasFormerName |
P65
|
FINISHED |
| Object | Lucky-Goldstar |
E84590
|
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: Lucky-Goldstar | Statement: [LG Group, hasFormerName, Lucky-Goldstar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lucky-Goldstar Context triple: [LG Group, hasFormerName, Lucky-Goldstar]
-
A.
GoldStar
chosen
GoldStar was the original brand name of the South Korean electronics company now known as LG Electronics, under which it produced a wide range of consumer electronics and home appliances.
-
B.
Sanyo
Sanyo is a Japanese electronics brand known for producing a wide range of consumer and industrial electronic products, including televisions, batteries, and home appliances.
-
C.
Daewoo
Daewoo is a South Korean automotive brand known for producing a range of affordable passenger vehicles and later becoming part of General Motors' global operations.
-
D.
Midea
Midea is an important archaeological site in Greece that was a fortified citadel of the Mycenaean civilization.
-
E.
Nishitetsu
Nishitetsu is a major Japanese private railway and bus company based in Fukuoka, operating extensive public transportation networks across the Kyushu region.
- 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.