Triple
T7192846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lexus |
E167735
|
entity |
| Predicate | hasModel |
P2390
|
FINISHED |
| Object | Lexus LX |
E50659
|
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: Lexus LX | Statement: [Lexus, hasModel, Lexus LX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lexus LX Context triple: [Lexus, hasModel, Lexus LX]
-
A.
Lexus LX
chosen
The Lexus LX is a full-size luxury SUV known for its off-road capability, premium features, and close relation to the Toyota Land Cruiser.
-
B.
Lexus GX
The Lexus GX is a mid-size luxury SUV known for its body-on-frame construction, off-road capability, and upscale interior.
-
C.
Lexus RX
The Lexus RX is a mid-size luxury crossover SUV known for its refined ride, upscale interior, and strong reputation for reliability.
-
D.
Toyota Land Cruiser
The Toyota Land Cruiser is a renowned full-size four-wheel-drive SUV celebrated for its durability, off-road capability, and long-standing global reputation for reliability.
-
E.
Lexus NX
The Lexus NX is a compact luxury crossover SUV known for its upscale interior, advanced technology features, and refined ride.
- 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_69c6888b5248819090499a884ee3ec39 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e9036544819083c70a5d2135ba4b |
completed | March 27, 2026, 8:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7db0401f481909cc09c2b8c23cd24 |
completed | March 28, 2026, 1:43 p.m. |
Created at: March 27, 2026, 2:50 p.m.