Triple
T16214590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buch |
E393552
|
entity |
| Predicate | transportConnection |
P1298
|
FINISHED |
| Object | S-Bahn line S2 |
E603712
|
NE 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: S-Bahn line S2 | Statement: [Buch, transportConnection, S-Bahn line S2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: S-Bahn line S2 Context triple: [Buch, transportConnection, S-Bahn line S2]
-
A.
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.
-
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 S25
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.
-
D.
Berlin S-Bahn line S2
chosen
Berlin S-Bahn line S2 is a rapid transit route in Berlin’s S-Bahn network that runs north–south across the city, connecting suburban areas with central Berlin.
-
E.
Hamburg S-Bahn line S2
Hamburg S-Bahn line S2 is a suburban railway line in Hamburg, Germany, operating as part of the city’s rapid transit S-Bahn network.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d87f1f5bd08190bd01cac0d5b9d2ef |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e227f393e08190be93400d754f0a2d |
completed | April 17, 2026, 12:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000794e6c881909c4521e4dd031971 |
completed | May 10, 2026, 4:20 a.m. |
Created at: April 10, 2026, 5:03 a.m.