Triple
T5244341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olympiapark |
E118420
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | BMW Welt |
E117563
|
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 Welt | Statement: [Olympiapark, locatedNear, BMW Welt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BMW Welt Context triple: [Olympiapark, locatedNear, BMW Welt]
-
A.
BMW Welt
chosen
BMW Welt is a futuristic multi-use exhibition, delivery, and event center in Munich that showcases BMW Group vehicles and technology.
-
B.
BMW
BMW is a German luxury automobile and motorcycle manufacturer renowned for its performance-oriented vehicles and engineering.
-
C.
BMW Headquarters
BMW Headquarters is the iconic, cylinder-shaped main office building of the German automobile manufacturer BMW located in Munich, Germany.
-
D.
BMWK
BMWK is the German Federal Ministry responsible for economic policy and climate action at the national level.
-
E.
Tyco BMW
Tyco BMW is a professional motorcycle road racing team, best known for competing in major events like the Isle of Man TT and British Superbike Championship with BMW machinery.
- 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_69bd4468aacc8190a8196f71855cdf4f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b4fa0ec8190bce3da09aa768726 |
completed | March 20, 2026, 4:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bef82f2738819080c5a0963f6dbbb0 |
completed | March 21, 2026, 7:57 p.m. |
Created at: March 20, 2026, 1:49 p.m.