Triple
T23001343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toyota MC platform |
E572639
|
entity |
| Predicate | usedByBrand |
P23474
|
FINISHED |
| Object | Lexus |
—
|
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: Lexus | Statement: [Toyota MC platform, usedByBrand, Lexus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lexus Context triple: [Toyota MC platform, usedByBrand, Lexus]
-
A.
Lexus
chosen
Lexus is the luxury vehicle division of the Japanese automaker Toyota, known for its premium sedans, SUVs, and hybrids that emphasize comfort, reliability, and advanced technology.
-
B.
Infiniti
Infiniti is Nissan's luxury vehicle division, known for producing premium performance-oriented cars and SUVs.
-
C.
Lexus RX/NX/GX
The Lexus RX/NX/GX are Lexus’s popular luxury SUV lineup, spanning compact, midsize, and off-road-capable models known for comfort, refinement, and reliability.
-
D.
Lexus GS
The Lexus GS is a mid-size luxury sedan known for blending refined comfort, strong performance, and advanced technology within Lexus’s premium lineup.
-
E.
Lexus LS
The Lexus LS is a flagship full-size luxury sedan from Toyota’s Lexus brand, known for its refinement, comfort, and reliability.
- 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_69e245b6a3ac81908087599eefe3e365 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18352bcf48190bd474eff69b3465b |
completed | April 29, 2026, 4:04 a.m. |
Created at: April 17, 2026, 3:50 p.m.