Triple
T4014484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hyundai Motor Company |
E90721
|
entity |
| Predicate | notableModel |
P1503
|
FINISHED |
| Object | Hyundai Elantra |
E388729
|
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: Hyundai Elantra | Statement: [Hyundai Motor Company, notableModel, Hyundai Elantra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hyundai Elantra Context triple: [Hyundai Motor Company, notableModel, Hyundai Elantra]
-
A.
Hyundai Elantra
chosen
The Hyundai Elantra is a compact sedan known for its value-oriented pricing, fuel efficiency, and extensive features, competing with popular models like the Honda Civic.
-
B.
Hyundai Sonata
The Hyundai Sonata is a popular mid-size family sedan known for its value, modern styling, and extensive features.
-
C.
Kia Optima
The Kia Optima is a midsize family sedan known for its value, modern styling, and generous features.
-
D.
Ford Probe
The Ford Probe is a sporty front-wheel-drive liftback coupe produced by Ford from the late 1980s to the late 1990s, developed in collaboration with Mazda and intended as a potential successor to the Ford Mustang.
-
E.
Nissan Altima
The Nissan Altima is a popular mid-size sedan known for its balance of comfort, fuel efficiency, and everyday practicality.
- 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_69aed95e44088190aff7d90a151b1b20 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa8ad6348190b71feaf8c18c90c2 |
completed | March 9, 2026, 4:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b54c73e6048190a59a8d8bc12c907d |
completed | March 14, 2026, 11:54 a.m. |
Created at: March 9, 2026, 3:35 p.m.