Triple
T16302594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lexus NX |
E395827
|
entity |
| Predicate | trimLevel |
P11486
|
FINISHED |
| Object |
NX 350
The NX 350 is a gasoline-powered variant of the Lexus NX compact luxury SUV, offering a balance of performance, comfort, and premium features.
|
E1206796
|
NE FINISHED |
How this triple was built (4 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: NX 350 | Statement: [Lexus NX, trimLevel, NX 350]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NX 350 Context triple: [Lexus NX, trimLevel, NX 350]
-
A.
NX 250
The NX 250 is an entry-level variant of the Lexus NX compact luxury crossover SUV, offering a balance of comfort, efficiency, and premium features.
-
B.
XT 300
XT 300 is a high-performance racing car model developed for the Fiorano GT Challenge series.
-
C.
Kawasaki Ninja ZX-25R
The Kawasaki Ninja ZX-25R is a high-revving 249cc inline-four sport motorcycle known for bringing supersport performance and advanced electronics to the quarter-liter class.
-
D.
TX-35
TX-35 is the commonly used abbreviation for Texas's 35th congressional district, a U.S. House of Representatives district centered around parts of Austin and San Antonio.
-
E.
TX-30
TX-30 is the commonly used abbreviation for Texas's 30th congressional district, a U.S. House of Representatives district centered in the Dallas area.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: NX 350 Triple: [Lexus NX, trimLevel, NX 350]
Generated description
The NX 350 is a gasoline-powered variant of the Lexus NX compact luxury SUV, offering a balance of performance, comfort, and premium features.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: NX 350 Target entity description: The NX 350 is a gasoline-powered variant of the Lexus NX compact luxury SUV, offering a balance of performance, comfort, and premium features.
-
A.
NX 250
The NX 250 is an entry-level variant of the Lexus NX compact luxury crossover SUV, offering a balance of comfort, efficiency, and premium features.
-
B.
XT 300
XT 300 is a high-performance racing car model developed for the Fiorano GT Challenge series.
-
C.
Kawasaki Ninja ZX-25R
The Kawasaki Ninja ZX-25R is a high-revving 249cc inline-four sport motorcycle known for bringing supersport performance and advanced electronics to the quarter-liter class.
-
D.
TX-35
TX-35 is the commonly used abbreviation for Texas's 35th congressional district, a U.S. House of Representatives district centered around parts of Austin and San Antonio.
-
E.
TX-30
TX-30 is the commonly used abbreviation for Texas's 30th congressional district, a U.S. House of Representatives district centered in the Dallas area.
- F. None of above. chosen
Provenance (5 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_69d87f23bb088190a16fbb91a1957ea5 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e25e3404288190a7106d62c15c3193 |
completed | April 17, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00260151908190b83f700a1c7c6419 |
completed | May 10, 2026, 6:30 a.m. |
| NEDg | Description generation | batch_6a0026b6554481909ee5a4de41293d90 |
completed | May 10, 2026, 6:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a002750c490819082db2044b6a89eaa |
completed | May 10, 2026, 6:36 a.m. |
Created at: April 10, 2026, 5:06 a.m.