Triple
T2271163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lexus LX |
E50659
|
entity |
| Predicate | competesWith |
P1375
|
FINISHED |
| Object | Mercedes-Benz GLS |
E221910
|
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: Mercedes-Benz GLS | Statement: [Lexus LX, competesWith, Mercedes-Benz GLS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mercedes-Benz GLS Context triple: [Lexus LX, competesWith, Mercedes-Benz GLS]
-
A.
Mercedes-Benz GLS
chosen
The Mercedes-Benz GLS is a full-size luxury SUV known for its spacious three-row interior, advanced technology, and refined performance as the flagship SUV in Mercedes-Benz’s lineup.
-
B.
G-Class
The G-Class is Mercedes-Benz’s iconic luxury off-road SUV, renowned for its boxy design, rugged capability, and high-end performance.
-
C.
S-Class
The S-Class is Mercedes-Benz’s flagship luxury sedan line, renowned for its advanced technology, comfort, and status as a benchmark in the premium automotive segment.
-
D.
E-Class
The E-Class is Mercedes-Benz’s long-running line of executive luxury cars known for combining comfort, advanced technology, and strong performance.
-
E.
Porsche Cayenne
The Porsche Cayenne is a luxury midsize SUV that combines sports-car performance and handling with upscale comfort and practicality.
- 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_69a88b05910c8190a9a2b1ff230c85f9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc1c0de488190876b644cdaa41637 |
completed | March 7, 2026, 6:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae7f0ed1b881909ba3c7f9fea50267 |
completed | March 9, 2026, 8:04 a.m. |
Created at: March 4, 2026, 7:48 p.m.