Triple
T5471885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nissan Sentra |
E122852
|
entity |
| Predicate | competitor |
P1375
|
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: [Nissan Sentra, competitor, Hyundai Elantra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hyundai Elantra Context triple: [Nissan Sentra, competitor, 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.
Hyundai Santa Fe
The Hyundai Santa Fe is a popular mid-size crossover SUV known for its practicality, comfort, and value-oriented features.
-
E.
Hyundai Accent
The Hyundai Accent is a subcompact car produced by the South Korean automaker Hyundai, known for its affordability, fuel efficiency, and practicality as an entry-level vehicle.
- 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_69bd46459ff48190823377457bcf7128 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd922f66bc8190b7d47fd68d2fcf2e |
completed | March 20, 2026, 6:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf4895b77c819089629d2296a230bc |
completed | March 22, 2026, 1:40 a.m. |
Created at: March 20, 2026, 2:09 p.m.