Triple
T27064941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S-Bahn station Warschauer Straße |
E685146
|
entity |
| Predicate | reopenedAsS-BahnStation |
P119964
|
FINISHED |
| Object | 1933 |
—
|
LITERAL 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: 1933 | Statement: [S-Bahn station Warschauer Straße, reopenedAsS-BahnStation, 1933]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reopenedAsS-BahnStation Context triple: [S-Bahn station Warschauer Straße, reopenedAsS-BahnStation, 1933]
-
A.
reopenedAsSBahn
chosen
Indicates that a previously closed or differently operated railway line or station was reopened specifically as part of an S-Bahn (urban rapid transit) system.
-
B.
reopenedAsSubwayStation
Indicates that a previously closed or differently used station has been opened again specifically as a subway station.
-
C.
reopenedAsMetroStation
Indicates that a previously closed or differently used station was later reopened specifically as a metro station.
-
D.
reopenedAsTramStopOn
Indicates that a location previously closed or used differently was reopened specifically as a tram stop on the given date.
-
E.
reopenedAsAmtrakStation
Indicates that a previously closed station was reopened specifically to serve as an Amtrak station.
- F. None of above.
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_69ef14835fcc81908bd737b4267ae528 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f622e809748190bfc40b8cee0fa073 |
completed | May 2, 2026, 4:14 p.m. |
| PD | Predicate disambiguation | batch_69f61b3ee7b08190a0a1bc5d26b757aa |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 8:24 a.m.