Triple
T23345341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hardbrücke tram stop |
E591841
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Hardbrücke railway 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: Hardbrücke railway station | Statement: [Hardbrücke tram stop, connectsTo, Hardbrücke railway station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hardbrücke railway station Context triple: [Hardbrücke tram stop, connectsTo, Hardbrücke railway station]
-
A.
Hardbrücke railway station
chosen
Hardbrücke railway station is a major urban rail hub in Zürich, Switzerland, serving S-Bahn, regional, and long-distance trains near the Hardbrücke bridge and key city tram connections.
-
B.
Julius-Leber-Brücke station
Julius-Leber-Brücke station is a Berlin S-Bahn railway stop located in the Schöneberg district of Germany’s capital.
-
C.
Borsigwerke station
Borsigwerke station is a Berlin U-Bahn rapid transit station serving the Tegel district in the German capital.
-
D.
Ziegelstein station
Ziegelstein station is a stop on the Nuremberg U-Bahn network serving the Ziegelstein district in Nuremberg, Germany.
-
E.
Westbahnhof
Westbahnhof is a major Vienna transport hub that combines one of the city’s main railway stations with an important interchange on the Vienna U-Bahn network.
- 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_69e25d20e3d08190bcede87673cafb25 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1983697408190b31817174ed4e77b |
completed | April 29, 2026, 5:33 a.m. |
Created at: April 17, 2026, 5:19 p.m.