Triple
T9234713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BMW X5 |
E221906
|
entity |
| Predicate | competitor |
P1375
|
FINISHED |
| Object | Lexus RX |
E318271
|
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 RX | Statement: [BMW X5, competitor, Lexus RX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lexus RX Context triple: [BMW X5, competitor, Lexus RX]
-
A.
Lexus RX
chosen
The Lexus RX is a mid-size luxury crossover SUV known for its refined ride, upscale interior, and strong reputation for reliability.
-
B.
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.
-
C.
Lexus NX
The Lexus NX is a compact luxury crossover SUV known for its upscale interior, advanced technology features, and refined ride.
-
D.
Lexus HS
The Lexus HS is a compact luxury hybrid sedan that was Lexus’s first dedicated hybrid model, offering fuel-efficient performance and premium comfort features.
-
E.
Lexus GX
The Lexus GX is a mid-size luxury SUV known for its body-on-frame construction, off-road capability, and upscale interior.
- 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_69ca83ed628c8190bc02d641e57f097f |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccee1cca0c8190bf587f54236c9e45 |
completed | April 1, 2026, 10:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d077c31f588190bae2af98e3b71c38 |
completed | April 4, 2026, 2:30 a.m. |
Created at: March 30, 2026, 7:29 p.m.