Triple
T514253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BMW |
E10671
|
entity |
| Predicate | subsidiary |
P258
|
FINISHED |
| Object | BMW Motorrad |
E10671
|
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: BMW Motorrad | Statement: [BMW, subsidiary, BMW Motorrad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BMW Motorrad Context triple: [BMW, subsidiary, BMW Motorrad]
-
A.
BMW
chosen
BMW is a German luxury automobile and motorcycle manufacturer renowned for its performance-oriented vehicles and engineering.
-
B.
Harley-Davidson
Harley-Davidson is an iconic American motorcycle manufacturer renowned for its heavyweight cruiser bikes, distinctive V-twin engines, and strong biker subculture.
-
C.
Ducati
Ducati is an Italian motorcycle manufacturer renowned for its high-performance sport bikes, racing heritage, and distinctive design.
-
D.
Kawasaki
Kawasaki is a major industrial and residential city in Kanagawa Prefecture, Japan, located between Tokyo and Yokohama along the Tama River.
-
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.
- 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_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_69a4b23bf69481908db3a0f3de8c2bf1 |
completed | March 1, 2026, 9:40 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.