Triple
T14996379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deutsche Bank |
E373967
|
entity |
| Predicate | tickerSymbol |
P1447
|
FINISHED |
| Object |
DBK
DBK is the stock ticker symbol for Deutsche Bank, a major global investment and financial services institution based in Germany.
|
E1131242
|
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: DBK | Statement: [Deutsche Bank, tickerSymbol, DBK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DBK Context triple: [Deutsche Bank, tickerSymbol, DBK]
-
A.
DBK
DBK is the commonly used abbreviation for the German Bishops' Conference, the assembly of Catholic bishops in Germany.
-
B.
DB1
DB1 is the stock ticker symbol for Deutsche Börse AG, a major German exchange organization that operates the Frankfurt Stock Exchange and related financial market infrastructure.
-
C.
BDB
BDB is the IATA airport code for Bundaberg Airport, a regional airport serving the city of Bundaberg in Queensland, Australia.
-
D.
DBU
DBU is the Danish Football Association, the governing body responsible for organizing and overseeing football activities and national teams in Denmark.
-
E.
DBM
DBM is a demand-side platform from Google’s DoubleClick suite that enables advertisers to buy and manage programmatic display, video, and mobile ad inventory across multiple exchanges.
- 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: DBK Triple: [Deutsche Bank, tickerSymbol, DBK]
Generated description
DBK is the stock ticker symbol for Deutsche Bank, a major global investment and financial services institution based in Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DBK Target entity description: DBK is the stock ticker symbol for Deutsche Bank, a major global investment and financial services institution based in Germany.
-
A.
DBK
DBK is the commonly used abbreviation for the German Bishops' Conference, the assembly of Catholic bishops in Germany.
-
B.
DB1
DB1 is the stock ticker symbol for Deutsche Börse AG, a major German exchange organization that operates the Frankfurt Stock Exchange and related financial market infrastructure.
-
C.
BDB
BDB is the IATA airport code for Bundaberg Airport, a regional airport serving the city of Bundaberg in Queensland, Australia.
-
D.
DBU
DBU is the Danish Football Association, the governing body responsible for organizing and overseeing football activities and national teams in Denmark.
-
E.
DBM
DBM is a demand-side platform from Google’s DoubleClick suite that enables advertisers to buy and manage programmatic display, video, and mobile ad inventory across multiple exchanges.
- 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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded718e4288190b5e144f82299a194 |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe969a63f081908bf11783e2a51229 |
completed | May 9, 2026, 2:06 a.m. |
| NEDg | Description generation | batch_69fe97609b3481908ed481f9f061b148 |
completed | May 9, 2026, 2:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe980155748190aef4ce876f985ef2 |
completed | May 9, 2026, 2:12 a.m. |
Created at: April 10, 2026, 2:53 a.m.