Triple
T644019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mercedes-Benz |
E11202
|
entity |
| Predicate | notableModelSeries |
P1503
|
FINISHED |
| Object |
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.
|
E80919
|
NE FINISHED |
How this triple was built (4 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: EQE | Statement: [Mercedes-Benz, notableModelSeries, EQE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EQE Context triple: [Mercedes-Benz, notableModelSeries, EQE]
-
A.
EQ
EQ is Mercedes-Benz’s dedicated sub-brand for electric vehicles and related technologies, representing the company’s push into premium, battery-powered mobility.
-
B.
EQS
The EQS is Mercedes-Benz’s flagship all-electric luxury sedan, designed to showcase the brand’s cutting-edge technology, range, and comfort in the EV segment.
-
C.
QF
QF is the IATA airline designator used for Qantas, the flag carrier of Australia.
-
D.
Squantum
Squantum is a coastal neighborhood of Quincy, Massachusetts, known for its residential character, waterfront views, and proximity to Boston.
-
E.
EET
EET is a time zone used in parts of Eastern Europe and the Eastern Mediterranean, typically two hours ahead of Coordinated Universal Time (UTC+2).
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: EQE Triple: [Mercedes-Benz, notableModelSeries, EQE]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: EQE Target entity description: 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.
-
A.
EQ
EQ is Mercedes-Benz’s dedicated sub-brand for electric vehicles and related technologies, representing the company’s push into premium, battery-powered mobility.
-
B.
EQS
The EQS is Mercedes-Benz’s flagship all-electric luxury sedan, designed to showcase the brand’s cutting-edge technology, range, and comfort in the EV segment.
-
C.
QF
QF is the IATA airline designator used for Qantas, the flag carrier of Australia.
-
D.
Squantum
Squantum is a coastal neighborhood of Quincy, Massachusetts, known for its residential character, waterfront views, and proximity to Boston.
-
E.
EET
EET is a time zone used in parts of Eastern Europe and the Eastern Mediterranean, typically two hours ahead of Coordinated Universal Time (UTC+2).
- F. None of above. chosen
Provenance (5 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_69a493266a2881909daf4c40f719dee8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49f18216081908331aa12dac40214 |
completed | March 1, 2026, 8:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a57b5825a08190a528cc2034f2892f |
completed | March 2, 2026, 11:58 a.m. |
| NEDg | Description generation | batch_69a57dbe4aa88190ad6d185f8151f85b |
completed | March 2, 2026, 12:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a57e3b4d448190bd7f4a6249b7e3a1 |
completed | March 2, 2026, 12:10 p.m. |
Created at: March 1, 2026, 7:36 p.m.