Triple
T16387801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S42 (Berlin S-Bahn line) |
E397967
|
entity |
| Predicate | majorInterchangeStation |
P30882
|
FINISHED |
| Object | Westkreuz |
E578120
|
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: Westkreuz | Statement: [S42 (Berlin S-Bahn line), majorInterchangeStation, Westkreuz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Westkreuz Context triple: [S42 (Berlin S-Bahn line), majorInterchangeStation, Westkreuz]
-
A.
Westkreuz
chosen
Westkreuz is a major Berlin S-Bahn interchange station that serves as a key junction for multiple suburban rail lines.
-
B.
Bergisch-Märkische Bank
Bergisch-Märkische Bank was a historical German financial institution that played a significant role in regional banking and industrial financing in the Rhineland-Westphalia area.
-
C.
Dresdner Bank
Dresdner Bank was one of Germany’s major commercial banks, historically influential in the country’s financial and industrial development.
-
D.
Commerzbank AG
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.
-
E.
Postbank
Postbank is a major German retail bank known for offering everyday banking and financial services to private and small-business customers.
- 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e3263e1534819081a6bf5006c611c5 |
completed | April 18, 2026, 6:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00356ed47c819085aaf101459dd55c |
completed | May 10, 2026, 7:36 a.m. |
Created at: April 10, 2026, 5:08 a.m.