Triple
T16740110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hyundai Mobis |
E406812
|
entity |
| Predicate | primaryCustomer |
P927
|
FINISHED |
| Object | Kia Corporation |
—
|
NE NERFINISHED |
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: Kia Corporation | Statement: [Hyundai Mobis, primaryCustomer, Kia Corporation]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kia Corporation Context triple: [Hyundai Mobis, primaryCustomer, Kia Corporation]
-
A.
Kia Motors
chosen
Kia Motors is a South Korean automobile manufacturer known for producing a wide range of affordable cars and SUVs for global markets.
-
B.
Hyundai Motor Company
Hyundai Motor Company is a leading South Korean automotive manufacturer known globally for producing a wide range of affordable and reliable vehicles.
-
C.
Hyundai Motor Group
Hyundai Motor Group is a South Korean multinational conglomerate primarily known for its global automotive operations, including the Hyundai and Kia brands, along with various affiliated mobility and manufacturing businesses.
-
D.
LG Group
LG Group is a major South Korean multinational conglomerate known for its electronics, chemicals, and telecommunications businesses.
-
E.
Hyundai AutoEver
Hyundai AutoEver is a South Korean IT and mobility services company that provides software, connectivity, and digital solutions primarily for the automotive industry.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8838ffb088190a0b11149929006bf |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e39c3d4fa48190b0db8f10a39d3ad8 |
completed | April 18, 2026, 2:59 p.m. |
Created at: April 10, 2026, 5:20 a.m.