Triple
T22979485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vienna U1 line |
E571419
|
entity |
| Predicate | formerSouthernTerminus |
P28772
|
FINISHED |
| Object | Reumannplatz 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: Reumannplatz station | Statement: [Vienna U1 line, formerSouthernTerminus, Reumannplatz station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reumannplatz station Context triple: [Vienna U1 line, formerSouthernTerminus, Reumannplatz station]
-
A.
Reumannplatz station
chosen
Reumannplatz station is a Vienna U-Bahn station in the Favoriten district that serves as a key stop on line U1 and a major local transport hub.
-
B.
Stephansplatz station
Stephansplatz station is a major interchange stop in the Vienna U-Bahn network located beneath Stephansplatz in the historic city center near St. Stephen's Cathedral.
-
C.
Merianplatz station
Merianplatz station is an underground metro stop on Frankfurt am Main’s U4 line, serving the Bornheim district near Berger Straße.
-
D.
Savignyplatz station
Savignyplatz station is a railway station in Berlin, Germany, serving the Savignyplatz area on the city's S-Bahn network.
-
E.
Rathenauplatz station
Rathenauplatz station is an underground rapid transit stop on the Nuremberg U-Bahn network in Nuremberg, Germany.
- 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_69e245b3c50481908bb3741ec9f40862 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18294c4c8819083ef85d9cb736613 |
completed | April 29, 2026, 4:01 a.m. |
Created at: April 17, 2026, 3:49 p.m.