Triple
T4045958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toyota Camry |
E84065
|
entity |
| Predicate | competitor |
P1375
|
FINISHED |
| Object | Hyundai Sonata |
E196142
|
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 Sonata | Statement: [Toyota Camry, competitor, Hyundai Sonata]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hyundai Sonata Context triple: [Toyota Camry, competitor, Hyundai Sonata]
-
A.
Hyundai Sonata
chosen
The Hyundai Sonata is a popular mid-size family sedan known for its value, modern styling, and extensive features.
-
B.
Hyundai Elantra
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.
-
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 Tucson
The Hyundai Tucson is a compact crossover SUV known for its practicality, modern styling, and strong value in the global automotive market.
- 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_69aed930bd5c819083e7dcc14fc44f69 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb6135b481909d2be890a2140ff9 |
completed | March 9, 2026, 4:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5769317588190bd766c7c0e690bed |
completed | March 14, 2026, 2:54 p.m. |
Created at: March 9, 2026, 3:37 p.m.