Triple
T13502194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mercedes-Benz EQA |
E320918
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | EQA 250 |
E80918
|
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: EQA 250 | Statement: [Mercedes-Benz EQA, hasVariant, EQA 250]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EQA 250 Context triple: [Mercedes-Benz EQA, hasVariant, EQA 250]
-
A.
EQA
chosen
EQA is Mercedes-Benz’s compact all-electric SUV designed as part of the brand’s EQ lineup of battery-powered vehicles.
-
B.
EQ-4B
The EQ-4B is a U.S. Air Force unmanned aerial vehicle that combines the RQ-4 Global Hawk airframe with the Battlefield Airborne Communications Node (BACN) payload to provide high-altitude, long-endurance communications relay and networking capabilities.
-
C.
EQC
EQC is a fully electric luxury compact SUV produced by Mercedes-Benz as part of its EQ lineup of battery-electric vehicles.
-
D.
EQAIR
EQAIR is the callsign of Equair, an Ecuadorian airline that operated domestic and regional passenger flights.
-
E.
EQF
EQF is a European reference framework that helps compare and translate qualifications across different countries’ education and training systems.
- 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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf50f4a48190a44fc537b78c32fd |
completed | April 12, 2026, 2:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75489e9908190b133937b5e92732d |
completed | May 3, 2026, 1:58 p.m. |
Created at: April 9, 2026, 9:43 p.m.