Triple
T20633939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Infiniti Q50 |
E507027
|
entity |
| Predicate | trimLevel |
P11486
|
FINISHED |
| Object | Q50 2.0t |
—
|
NE NERFINISHED |
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: Q50 2.0t | Statement: [Infiniti Q50, trimLevel, Q50 2.0t]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Q50 2.0t Context triple: [Infiniti Q50, trimLevel, Q50 2.0t]
-
A.
Audi Q5
The Audi Q5 is a compact luxury crossover SUV known for its refined interior, advanced technology, and balanced performance.
-
B.
Q5 bus
The Q5 bus is a New York City bus route in Queens that connects Jamaica with the Rosedale neighborhood and nearby areas.
-
C.
Infiniti QX50
The Infiniti QX50 is a compact luxury crossover SUV known for its upscale interior, advanced safety technology, and distinctive styling within Infiniti’s lineup.
-
D.
Audi Q3
The Audi Q3 is a compact luxury crossover SUV known for its premium interior, advanced technology features, and refined driving dynamics.
-
E.
Infiniti Q50
chosen
The Infiniti Q50 is a compact luxury sports sedan known for its sleek styling, advanced technology features, and performance-oriented driving dynamics.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4bd4a0081908d4e97a590a33fb2 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6ad0d808c81908a60abd02a22ed92 |
completed | April 20, 2026, 10:47 p.m. |
Created at: April 16, 2026, 11:42 a.m.