Triple
T15847740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EQA 350 4MATIC |
E384256
|
entity |
| Predicate | series |
P1761
|
FINISHED |
| Object | EQA |
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 | Statement: [EQA 350 4MATIC, series, EQA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EQA Context triple: [EQA 350 4MATIC, series, EQA]
-
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.
ECQ
ECQ is the independent statutory authority responsible for conducting and regulating state and local government elections in Queensland, Australia.
-
C.
EQF
EQF is a European reference framework that helps compare and translate qualifications across different countries’ education and training systems.
-
D.
EQC
EQC is a fully electric luxury compact SUV produced by Mercedes-Benz as part of its EQ lineup of battery-electric vehicles.
-
E.
EQE
EQE is a fully electric executive sedan from Mercedes-Benz’s EQ lineup, positioned as a mid-size luxury alternative to the traditional E-Class.
- 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_69d86da422088190aac39e32e6c68429 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e14ca96c588190922b1f7556dd08cf |
completed | April 16, 2026, 8:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa145f2dc819092db805806b6e1d5 |
completed | May 9, 2026, 9:04 p.m. |
Created at: April 10, 2026, 4:50 a.m.