Triple
T11524712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kumho Asiana Group |
E273261
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object | Kumho |
E930177
|
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: Kumho | Statement: [Kumho Asiana Group, hasBrand, Kumho]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kumho Context triple: [Kumho Asiana Group, hasBrand, Kumho]
-
A.
Kumho Tire
chosen
Kumho Tire is a South Korean tire manufacturer known for producing a wide range of tires for passenger cars, trucks, and industrial vehicles and for its global presence in the automotive industry.
-
B.
Bridgestone
Bridgestone is a global tire and rubber company headquartered in Japan, known for its extensive involvement in motorsports and major sports sponsorships.
-
C.
Nokian Tyres
Nokian Tyres is a Finnish tire manufacturer best known for its high-quality winter and all-weather tires designed for challenging Nordic conditions.
-
D.
Pirelli
Pirelli is an Italian multinational company best known as one of the world’s leading manufacturers of high-performance tyres, particularly in motorsport and premium road vehicles.
-
E.
Michelin
Michelin is a major French multinational tire manufacturer renowned for its tires, travel guides, and the Michelin star restaurant rating system.
- 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_69d6aae3fbec8190a14632a5df2538b6 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d87fd26648819083de19bcddf8ad69 |
completed | April 10, 2026, 4:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee869d0b0481908080e7f3a80223d1 |
completed | April 26, 2026, 9:41 p.m. |
Created at: April 8, 2026, 9:37 p.m.