Triple
T514251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BMW |
E10671
|
entity |
| Predicate | subsidiary |
P258
|
FINISHED |
| Object |
BMW M GmbH
BMW M GmbH is BMW's high-performance division responsible for developing and producing the brand’s sportiest, track-focused road cars and motorsport programs.
|
E10671
|
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: BMW M GmbH | Statement: [BMW, subsidiary, BMW M GmbH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BMW M GmbH Context triple: [BMW, subsidiary, BMW M GmbH]
-
A.
BMW
BMW is a German luxury automobile and motorcycle manufacturer renowned for its performance-oriented vehicles and engineering.
-
B.
Mercedes-Benz
Mercedes-Benz is a German luxury automobile manufacturer renowned for its premium cars, engineering innovation, and iconic three-pointed star logo.
-
C.
Audi
Audi is a German luxury automobile manufacturer known for its premium vehicles, advanced engineering, and signature quattro all-wheel-drive technology.
-
D.
Porsche
Porsche is a German luxury automobile manufacturer renowned for its high-performance sports cars, SUVs, and engineering excellence.
-
E.
BMW 132
The BMW 132 was a German nine-cylinder air-cooled radial aircraft engine widely used in Luftwaffe bombers and transport aircraft during the 1930s and World War II.
- 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: BMW M GmbH Triple: [BMW, subsidiary, BMW M GmbH]
Generated description
BMW M GmbH is BMW's high-performance division responsible for developing and producing the brand’s sportiest, track-focused road cars and motorsport programs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BMW M GmbH Target entity description: BMW M GmbH is BMW's high-performance division responsible for developing and producing the brand’s sportiest, track-focused road cars and motorsport programs.
-
A.
BMW
chosen
BMW is a German luxury automobile and motorcycle manufacturer renowned for its performance-oriented vehicles and engineering.
-
B.
Mercedes-Benz
Mercedes-Benz is a German luxury automobile manufacturer renowned for its premium cars, engineering innovation, and iconic three-pointed star logo.
-
C.
Audi
Audi is a German luxury automobile manufacturer known for its premium vehicles, advanced engineering, and signature quattro all-wheel-drive technology.
-
D.
Porsche
Porsche is a German luxury automobile manufacturer renowned for its high-performance sports cars, SUVs, and engineering excellence.
-
E.
BMW 132
The BMW 132 was a German nine-cylinder air-cooled radial aircraft engine widely used in Luftwaffe bombers and transport aircraft during the 1930s and World War II.
- F. None of above.
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_69a2e84a0d08819087e01863fcd9abf1 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1824a248190808591ab3ece7dff |
completed | Feb. 28, 2026, 1:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4ab1bc2e48190b15d777af2a76a1a |
completed | March 1, 2026, 9:09 p.m. |
| NEDg | Description generation | batch_69a4aee8b2ac81908d21ca622bbcec93 |
completed | March 1, 2026, 9:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4af37dd3c8190879d0371a3846e0d |
completed | March 1, 2026, 9:27 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.