Triple
T23304909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Südkreuz |
E590407
|
entity |
| Predicate | hasService |
P182
|
FINISHED |
| Object | S-Bahn lines S25 |
—
|
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: S-Bahn lines S25 | Statement: [Südkreuz, hasService, S-Bahn lines S25]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: S-Bahn lines S25 Context triple: [Südkreuz, hasService, S-Bahn lines S25]
-
A.
S-Bahn line S25
chosen
S-Bahn line S25 is a Berlin rapid transit route that connects the northern district of Heiligensee with central and southern parts of the city.
-
B.
S-Bahn lines S2
S-Bahn lines S2 is a Berlin suburban rail route that connects key districts across the city and serves major hubs such as Südkreuz station.
-
C.
S-Bahn line S26
S-Bahn line S26 is a suburban railway service in Berlin’s S-Bahn network that connects northern residential districts like Waidmannslust with central parts of the city.
-
D.
S-Bahn line S75
S-Bahn line S75 is a Berlin suburban rail service that connects the northeastern district of Neu-Hohenschönhausen with central parts of the city as part of the Berlin S-Bahn network.
-
E.
S25 line
The S25 line is a Berlin S-Bahn suburban railway service that connects northern and southern districts of the city via the central trunk route.
- 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_69e25d1c0ecc8190a355aa229f06d0e0 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19725b248819089e61efb82e3440f |
completed | April 29, 2026, 5:29 a.m. |
Created at: April 17, 2026, 5:04 p.m.