Triple
T3832103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Acura |
E91036
|
entity |
| Predicate | notableModel |
P1503
|
FINISHED |
| Object | Acura MDX |
E274392
|
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: Acura MDX | Statement: [Acura, notableModel, Acura MDX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Acura MDX Context triple: [Acura, notableModel, Acura MDX]
-
A.
Acura MDX
chosen
The Acura MDX is a midsize luxury crossover SUV known for its three-row seating, refined ride, and upscale features.
-
B.
Acura RDX
The Acura RDX is a compact luxury crossover SUV known for its blend of performance, comfort, and advanced technology features.
-
C.
Acura TLX
The Acura TLX is a midsize luxury sport sedan known for blending performance-oriented driving dynamics with advanced technology and premium comfort features.
-
D.
Acura RLX
The Acura RLX is a mid-size luxury sedan that served as Acura’s flagship model, known for its advanced technology, comfort, and available hybrid all-wheel-drive powertrain.
-
E.
Acura RL
The Acura RL is a mid-size luxury sedan that served as Acura's flagship model, known for its advanced technology, refined comfort, and all-wheel-drive performance.
- 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_69aed960b538819096561c8ed448dec9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeeb8787bc8190819a7af975b609df |
completed | March 9, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b54c2db6a481909ebc822a1d3f831f |
completed | March 14, 2026, 11:53 a.m. |
Created at: March 9, 2026, 3:17 p.m.