Triple
T7823751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Commerzbank Tower |
E181193
|
entity |
| Predicate | developer |
P73
|
FINISHED |
| Object | Commerzbank AG |
E695203
|
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: Commerzbank AG | Statement: [Commerzbank Tower, developer, Commerzbank AG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Commerzbank AG Context triple: [Commerzbank Tower, developer, Commerzbank AG]
-
A.
Commerzbank AG
chosen
Commerzbank AG is a major German commercial bank headquartered in Frankfurt, known as one of the country’s leading financial institutions serving corporate, institutional, and retail clients.
-
B.
Dresdner Bank
Dresdner Bank was one of Germany’s major commercial banks, historically influential in the country’s financial and industrial development.
-
C.
Deutsche Bank
Deutsche Bank is a major global investment bank and financial services company headquartered in Frankfurt, Germany.
-
D.
Westkreuz
Westkreuz is a major Berlin S-Bahn interchange station that serves as a key junction for multiple suburban rail lines.
-
E.
Basler Handelsbank
Basler Handelsbank is a Swiss banking institution historically known for its role in founding the global reinsurance company Swiss Re.
- 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_69ca8282ccec819083c48efb72d21cf9 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cafa0abff08190b0245ceca5f20cae |
completed | March 30, 2026, 10:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbdee0fddc819086a5736f1a709865 |
completed | March 31, 2026, 2:49 p.m. |
Created at: March 30, 2026, 4:42 p.m.