Triple
T3102721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BMW 3 Series |
E64756
|
entity |
| Predicate | generation |
P4860
|
FINISHED |
| Object |
E21
E21 is the internal designation for the first generation of the BMW 3 Series compact executive car, produced in the 1970s and early 1980s.
|
E327255
|
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: E21 | Statement: [BMW 3 Series, generation, E21]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: E21 Context triple: [BMW 3 Series, generation, E21]
-
A.
E-27
E-27 is the station code assigned to one of the platforms or lines serving Tokyo’s major transit hub, Shinjuku Station.
-
B.
E1
E1 is a central London postcode district covering parts of areas such as Whitechapel, Stepney, and Spitalfields in the East End.
-
C.
Do 217E
The Do 217E was a major bomber variant of the German Dornier Do 217, used extensively by the Luftwaffe during World War II for medium- and long-range bombing missions.
-
D.
EZE
EZE is the IATA airport code for Ministro Pistarini International Airport, the main international gateway serving Buenos Aires, Argentina.
-
E.
EINE
EINE is an early Emacs-like text editor developed at MIT that helped pioneer features of modern extensible, customizable editors.
- 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: E21 Triple: [BMW 3 Series, generation, E21]
Generated description
E21 is the internal designation for the first generation of the BMW 3 Series compact executive car, produced in the 1970s and early 1980s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: E21 Target entity description: E21 is the internal designation for the first generation of the BMW 3 Series compact executive car, produced in the 1970s and early 1980s.
-
A.
E-27
E-27 is the station code assigned to one of the platforms or lines serving Tokyo’s major transit hub, Shinjuku Station.
-
B.
E1
E1 is a central London postcode district covering parts of areas such as Whitechapel, Stepney, and Spitalfields in the East End.
-
C.
Do 217E
The Do 217E was a major bomber variant of the German Dornier Do 217, used extensively by the Luftwaffe during World War II for medium- and long-range bombing missions.
-
D.
EZE
EZE is the IATA airport code for Ministro Pistarini International Airport, the main international gateway serving Buenos Aires, Argentina.
-
E.
EINE
EINE is an early Emacs-like text editor developed at MIT that helped pioneer features of modern extensible, customizable editors.
- 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_69ad857dc98481909e585dc3372e3ed5 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada26df128819086541db7680c8c24 |
completed | March 8, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b203846a108190a97c30c463e119b1 |
completed | March 12, 2026, 12:06 a.m. |
| NEDg | Description generation | batch_69b20482147c8190852110e01c0988f3 |
completed | March 12, 2026, 12:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b205d86ab0819084a352c0b634a026 |
completed | March 12, 2026, 12:16 a.m. |
Created at: March 8, 2026, 3:03 p.m.