Triple
T644018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mercedes-Benz |
E11202
|
entity |
| Predicate | notableModelSeries |
P1503
|
FINISHED |
| Object |
EQA
EQA is Mercedes-Benz’s compact all-electric SUV designed as part of the brand’s EQ lineup of battery-powered vehicles.
|
E80918
|
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: EQA | Statement: [Mercedes-Benz, notableModelSeries, EQA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EQA Context triple: [Mercedes-Benz, notableModelSeries, EQA]
-
A.
QC
QC is a common abbreviation for Quezon City, a major urban center and former capital located in Metro Manila, Philippines.
-
B.
ENSBA
ENSBA is the commonly used abbreviation for the École des Beaux-Arts, a prestigious French fine arts school renowned for its influence on art and architecture.
-
C.
QAR
QAR is the Qatari riyal, the official national currency used in the State of Qatar.
-
D.
EAC
EAC is a major warm ocean current flowing southward along the east coast of Australia, influencing the region’s climate and marine ecosystems.
-
E.
EAC
The EAC (East African Community) is a regional intergovernmental organization that promotes economic integration and cooperation among several East African countries.
- 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: EQA Triple: [Mercedes-Benz, notableModelSeries, EQA]
Generated description
EQA is Mercedes-Benz’s compact all-electric SUV designed as part of the brand’s EQ lineup of battery-powered vehicles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: EQA Target entity description: EQA is Mercedes-Benz’s compact all-electric SUV designed as part of the brand’s EQ lineup of battery-powered vehicles.
-
A.
QC
QC is a common abbreviation for Quezon City, a major urban center and former capital located in Metro Manila, Philippines.
-
B.
ENSBA
ENSBA is the commonly used abbreviation for the École des Beaux-Arts, a prestigious French fine arts school renowned for its influence on art and architecture.
-
C.
QAR
QAR is the Qatari riyal, the official national currency used in the State of Qatar.
-
D.
EAC
EAC is a major warm ocean current flowing southward along the east coast of Australia, influencing the region’s climate and marine ecosystems.
-
E.
EAC
The EAC (East African Community) is a regional intergovernmental organization that promotes economic integration and cooperation among several East African countries.
- 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.