Triple
T13489277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S-Bahn line S1 |
E318589
|
entity |
| Predicate | via |
P5680
|
FINISHED |
| Object | Nordbahnhof |
E1001304
|
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: Nordbahnhof | Statement: [S-Bahn line S1, via, Nordbahnhof]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nordbahnhof Context triple: [S-Bahn line S1, via, Nordbahnhof]
-
A.
Nordbahnhof S-Bahn station
chosen
Nordbahnhof S-Bahn station is a Berlin rapid transit railway station on the city’s S-Bahn network, located near the former Berlin Wall and serving as a key transport hub in the central district.
-
B.
Nordostbahnhof station
Nordostbahnhof station is an underground Nuremberg U-Bahn stop in the city’s northeast, serving the Nordostbahnhof area on line U2.
-
C.
Ostbahnhof railway station
Ostbahnhof railway station is a major Berlin rail hub serving regional, long-distance, and urban S-Bahn services in the eastern part of the city.
-
D.
Ostkreuz station
Ostkreuz station is a major railway and S-Bahn interchange in Berlin, Germany, serving as one of the city's busiest public transport hubs.
-
E.
Berlin-Spandau station
Berlin-Spandau station is a major railway and transport hub in western Berlin, serving long-distance, regional, and S-Bahn trains as well as local bus and U-Bahn connections.
- 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf3cbe2081908c6792362c67c8f1 |
completed | April 12, 2026, 2:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76ba566c48190808857dd0bc3a871 |
completed | May 3, 2026, 3:37 p.m. |
Created at: April 9, 2026, 9:43 p.m.