Triple
T6336013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berlin Hauptbahnhof |
E142491
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | Berlin Hbf |
E142491
|
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: Berlin Hbf | Statement: [Berlin Hauptbahnhof, hasAbbreviation, Berlin Hbf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Berlin Hbf Context triple: [Berlin Hauptbahnhof, hasAbbreviation, Berlin Hbf]
-
A.
Potsdam Hbf
Potsdam Hbf is the main railway station of Potsdam, Germany, serving as a key regional and S-Bahn hub connecting the city with Berlin and surrounding areas.
-
B.
Berlin Hauptbahnhof
chosen
Berlin Hauptbahnhof is the main railway station in Berlin and one of Europe’s largest and most important rail hubs, serving extensive regional, national, and international connections.
-
C.
Berlin-Westkreuz station
Berlin-Westkreuz station is a major Berlin S-Bahn interchange in the west of the city, serving as a key junction for multiple suburban rail lines.
-
D.
Berlin station
Berlin station is a passenger rail station in Berlin, Connecticut, serving Amtrak and CTrail Hartford Line trains.
-
E.
Berlin Ostbahnhof
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.
- 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_69c008d4d8e88190ad301c05b08722ac |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0654a88a881908d5cb2aa7f22c4c7 |
completed | March 22, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c65fbc66f081909cdf3f33809ee8f1 |
completed | March 27, 2026, 10:45 a.m. |
Created at: March 22, 2026, 4:30 p.m.