Triple
T20633948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Infiniti Q50 |
E507027
|
entity |
| Predicate | competitor |
P1375
|
FINISHED |
| Object | Audi A4 |
—
|
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: Audi A4 | Statement: [Infiniti Q50, competitor, Audi A4]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Audi A4 Context triple: [Infiniti Q50, competitor, Audi A4]
-
A.
Audi A4
chosen
The Audi A4 is a compact executive car produced by the German automaker Audi, known for its refined interior, advanced technology, and available quattro all-wheel drive.
-
B.
Audi A3
The Audi A3 is a compact premium car known for its refined interior, advanced technology, and sporty yet efficient performance within Audi’s lineup.
-
C.
Audi A6
The Audi A6 is a mid-size luxury executive car known for its refined design, advanced technology, and balanced performance within Audi’s lineup.
-
D.
Audi S4
The Audi S4 is a high-performance, sport-tuned version of Audi’s A4 sedan, featuring a powerful engine, all-wheel drive, and upgraded handling and styling.
-
E.
Audi A5
The Audi A5 is a compact luxury car line, offered in coupe, sportback, and cabriolet forms, known for its sleek design, refined performance, and advanced technology features.
- 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.