Triple
T7628625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kia Motors |
E172700
|
entity |
| Predicate | hasDivision |
P35
|
FINISHED |
| Object | Kia Motors Mexico |
E172700
|
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: Kia Motors Mexico | Statement: [Kia Motors, hasDivision, Kia Motors Mexico]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kia Motors Mexico Context triple: [Kia Motors, hasDivision, Kia Motors Mexico]
-
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.
Kia
Kia is a feminine given name used in various cultures, often as a short form of names like Kiara or Kiana.
-
C.
Kia
Kia is a small settlement located on Santa Isabel Island in the Solomon Islands, known for its remote, rural character and coastal setting.
-
D.
Hyundai Motor Brasil
Hyundai Motor Brasil is the Brazilian subsidiary of the South Korean automaker Hyundai, responsible for manufacturing, marketing, and distributing Hyundai vehicles in Brazil.
-
E.
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.
- 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_69c699517e348190bd3348b6889200f2 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fa831f508190ab2f72326cdf4497 |
completed | March 27, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c870af222481909e341eebb78664d6 |
completed | March 29, 2026, 12:22 a.m. |
Created at: March 27, 2026, 3:56 p.m.