Triple
T1980646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BMW X7 |
E43016
|
entity |
| Predicate | competitor |
P1375
|
FINISHED |
| Object | Audi Q7 |
E217487
|
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: Audi Q7 | Statement: [BMW X7, competitor, Audi Q7]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Audi Q7 Context triple: [BMW X7, competitor, Audi Q7]
-
A.
Audi Q7
chosen
The Audi Q7 is a luxury midsize SUV known for its premium interior, advanced technology, and refined all-wheel-drive performance.
-
B.
Audi Q5
The Audi Q5 is a compact luxury crossover SUV known for its refined interior, advanced technology, and balanced performance.
-
C.
Audi Q8
The Audi Q8 is a luxury midsize crossover SUV that serves as Audi’s flagship coupe-styled SUV, combining premium features, advanced technology, and sporty performance.
-
D.
Porsche Cayenne
The Porsche Cayenne is a luxury midsize SUV that combines sports-car performance and handling with upscale comfort and practicality.
-
E.
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.
- 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_69a88713ddc88190a969715658ebe7a8 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb7c87bc081908ed179d1ca94fa3b |
completed | March 7, 2026, 5:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae032bc30c8190a136a634580571d9 |
completed | March 8, 2026, 11:15 p.m. |
Created at: March 4, 2026, 7:37 p.m.