Triple
T14682984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MTU München |
E344833
|
entity |
| Predicate | nameInLanguage |
P15
|
FINISHED |
| Object | MTU München |
E344833
|
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: MTU München | Statement: [MTU München, nameInLanguage, MTU München]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MTU München Context triple: [MTU München, nameInLanguage, MTU München]
-
A.
MTU München
chosen
MTU München was the original company from which MTU Aero Engines emerged, serving as a key German manufacturer in the aerospace and engine industry.
-
B.
TSV 1860 Munich
TSV 1860 Munich is a historic German football club from Munich known for its traditional fan base and past success in the Bundesliga.
-
C.
TH Karlsruhe
TH Karlsruhe is the traditional abbreviation for the University of Karlsruhe, a prominent German technical university known for its engineering and technology programs.
-
D.
1. FC Nürnberg
1. FC Nürnberg is a historic German football club based in Nuremberg, known for its multiple national championships and strong traditional fan base.
-
E.
Hannover 96
Hannover 96 is a professional German football club based in Hanover, best known for competing in the Bundesliga and having a long history dating back to the late 19th century.
- 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_69d822e34b348190ada4d1cdb6c7c226 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb56a51ec8190941684fd562a7182 |
completed | April 14, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fde18592088190892ae1cc371165be |
completed | May 8, 2026, 1:13 p.m. |
Created at: April 10, 2026, 1:28 a.m.