Triple
T4051264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GoldStar |
E84590
|
entity |
| Predicate | ownedBy |
P347
|
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: [GoldStar, ownedBy, Lucky-Goldstar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lucky-Goldstar Context triple: [GoldStar, ownedBy, 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.
Midea
Midea is an important archaeological site in Greece that was a fortified citadel of the Mycenaean civilization.
-
C.
Hengchi
Hengchi is an electric vehicle brand developed by the Chinese conglomerate Evergrande Group as part of its push into the new energy automotive industry.
-
D.
Hitachi
Hitachi is a Japanese multinational conglomerate known for its wide range of businesses spanning information technology, infrastructure, industrial systems, and consumer electronics.
-
E.
Ebara
Ebara is a district within Tokyo’s Shinagawa ward, known as a primarily residential area with local shopping streets and traditional neighborhoods.
- 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_69aed933bec881909edfa28ebb69c634 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb8539148190990468c1429be9dd |
completed | March 9, 2026, 4:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5629e75e88190935ae3e7db8eb12f |
completed | March 14, 2026, 1:29 p.m. |
Created at: March 9, 2026, 3:37 p.m.