Triple
T988638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Munich |
E21335
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object |
BMW Welt
BMW Welt is a futuristic multi-use exhibition, delivery, and event center in Munich that showcases BMW Group vehicles and technology.
|
E117563
|
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 Welt | Statement: [Munich, hasLandmark, BMW Welt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BMW Welt Context triple: [Munich, hasLandmark, BMW Welt]
-
A.
BMW
BMW is a German luxury automobile and motorcycle manufacturer renowned for its performance-oriented vehicles and engineering.
-
B.
BMWK
BMWK is the German Federal Ministry responsible for economic policy and climate action at the national level.
-
C.
BMW (licensed watches)
BMW (licensed watches) is a line of automotive-inspired timepieces produced under license by Fossil Group, reflecting the design and branding of the BMW car marque.
-
D.
BMW X Series
The BMW X Series is a lineup of BMW’s luxury crossover and sport utility vehicles known for combining premium comfort with sporty performance and all-wheel-drive capability.
-
E.
Audi
Audi is a German luxury automobile manufacturer known for its premium vehicles, advanced engineering, and signature quattro all-wheel-drive technology.
- 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 Welt Triple: [Munich, hasLandmark, BMW Welt]
Generated description
BMW Welt is a futuristic multi-use exhibition, delivery, and event center in Munich that showcases BMW Group vehicles and technology.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BMW Welt Target entity description: BMW Welt is a futuristic multi-use exhibition, delivery, and event center in Munich that showcases BMW Group vehicles and technology.
-
A.
BMW
BMW is a German luxury automobile and motorcycle manufacturer renowned for its performance-oriented vehicles and engineering.
-
B.
BMWK
BMWK is the German Federal Ministry responsible for economic policy and climate action at the national level.
-
C.
BMW (licensed watches)
BMW (licensed watches) is a line of automotive-inspired timepieces produced under license by Fossil Group, reflecting the design and branding of the BMW car marque.
-
D.
BMW X Series
The BMW X Series is a lineup of BMW’s luxury crossover and sport utility vehicles known for combining premium comfort with sporty performance and all-wheel-drive capability.
-
E.
Audi
Audi is a German luxury automobile manufacturer known for its premium vehicles, advanced engineering, and signature quattro all-wheel-drive technology.
- 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_69a493c383dc8190a03257f22d4b4183 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b4a89a58819081a24b5b0a12f122 |
completed | March 1, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac258d9f4c8190b285455410b30575 |
completed | March 7, 2026, 1:18 p.m. |
| NEDg | Description generation | batch_69ac267e4fa08190895fa6809d0decb8 |
completed | March 7, 2026, 1:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac271c8ad081909c1f1629e0793c40 |
completed | March 7, 2026, 1:24 p.m. |
Created at: March 1, 2026, 7:41 p.m.