Triple
T3381536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naturkundemuseum |
E71195
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | Nordbahnhof |
E146053
|
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: [Naturkundemuseum, formerName, Nordbahnhof]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nordbahnhof Context triple: [Naturkundemuseum, formerName, Nordbahnhof]
-
A.
Berlin Ostbahnhof
chosen
Berlin Ostbahnhof is one of Berlin’s main railway hubs, serving long-distance, regional, and S-Bahn trains in the eastern part of the city.
-
B.
Reeperbahn S-Bahn station
Reeperbahn S-Bahn station is a rapid transit railway stop in Hamburg, Germany, serving the city’s famous Reeperbahn nightlife and entertainment district.
-
C.
Eidelstedt station
Eidelstedt station is a railway and S-Bahn station in the Eidelstedt district of Hamburg, Germany, serving as a local and regional transport hub.
-
D.
Berlin-Wannsee station
Berlin-Wannsee station is a major railway and S-Bahn hub in southwestern Berlin, serving as an important interchange for regional, suburban, and long-distance trains near the Wannsee lake.
-
E.
Berlin-Schöneberg station
Berlin-Schöneberg station is a railway station in Berlin’s Schöneberg district, serving as a local transport hub for S-Bahn and regional rail services.
- 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_69ad85a8fd9c819095ecedf838d2bf1b |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb5e9af608190bfb228ef99a87bb7 |
completed | March 8, 2026, 5:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b34bc3f13c81909bec375bd080b7f3 |
completed | March 12, 2026, 11:27 p.m. |
Created at: March 8, 2026, 3:14 p.m.