Triple
T16387802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S42 (Berlin S-Bahn line) |
E397967
|
entity |
| Predicate | majorInterchangeStation |
P30882
|
FINISHED |
| Object | Südkreuz |
E590407
|
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: Südkreuz | Statement: [S42 (Berlin S-Bahn line), majorInterchangeStation, Südkreuz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Südkreuz Context triple: [S42 (Berlin S-Bahn line), majorInterchangeStation, Südkreuz]
-
A.
Südkreuz
chosen
Südkreuz is a major Berlin railway and transport interchange that serves as one of the city’s key regional, long-distance, and urban transit stations.
-
B.
Spiegelrei
Spiegelrei is a picturesque historic canal quay in Bruges, Belgium, known for its medieval architecture and scenic waterfront views.
-
C.
Sternschanze
Sternschanze is a trendy Hamburg neighborhood known for its alternative culture, vibrant nightlife, and street art.
-
D.
Ostkreuz
Ostkreuz is one of Berlin’s busiest and most important S-Bahn interchange stations, serving as a major hub for multiple suburban rail lines.
-
E.
Dinkelscherben
Dinkelscherben is a municipality in the Swabian region of Bavaria in southern Germany.
- 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.