Triple
T21513172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U2 (Berlin U-Bahn) |
E530777
|
entity |
| Predicate | terminus |
P388
|
FINISHED |
| Object | Pankow station |
—
|
NE NERFINISHED |
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: Pankow station | Statement: [U2 (Berlin U-Bahn), terminus, Pankow station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pankow station Context triple: [U2 (Berlin U-Bahn), terminus, Pankow station]
-
A.
Pankow station
chosen
Pankow station is a major public transport interchange in Berlin that connects S-Bahn, U-Bahn, and regional rail services in the northern part of the city.
-
B.
Pankow-Heinersdorf station
Pankow-Heinersdorf station is a suburban railway stop in Berlin’s Pankow district, served by the city’s S-Bahn network.
-
C.
Berlin-Karlshorst station
Berlin-Karlshorst station is a railway station in eastern Berlin that serves the Karlshorst area with regional and S-Bahn connections.
-
D.
Berlin-Heiligensee station
Berlin-Heiligensee station is a local railway station in Berlin’s Heiligensee district, serving as a stop on the city’s S-Bahn suburban rail network.
-
E.
Berlin-Tempelhof station
Berlin-Tempelhof station is a transport hub in Berlin that combines regional and S-Bahn rail services and connects with the nearby Tempelhof U-Bahn station.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c45c81f08190a6b8bbb70a45aae7 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea88e6fc8190a4b73b8d32dae5a8 |
completed | April 23, 2026, 9:46 a.m. |
Created at: April 16, 2026, 6:25 p.m.