Triple
T23553632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ostkreuz |
E578119
|
entity |
| Predicate | servedByLine |
P1293
|
FINISHED |
| Object | S9 |
—
|
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: S9 | Statement: [Ostkreuz, servedByLine, S9]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: S9 Context triple: [Ostkreuz, servedByLine, S9]
-
A.
S9
chosen
S9 is a line of the Berlin S-Bahn rapid transit network that connects Berlin Brandenburg Airport with central and western parts of the city.
-
B.
S9
S9 is a regional S-Bahn rail line within Germany’s Rhine-Ruhr metropolitan transit network, connecting multiple cities across the area.
-
C.
S9
S9 is a regional rail service designation used within the RER Vaud commuter rail network in Switzerland.
-
D.
S10
S10 is a line of the Zürich S-Bahn suburban rail network serving the Uetliberg mountain area.
-
E.
S98
S98 is a New York City bus route that provides local service connecting the Silver Lake area with other parts of Staten Island.
- 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_69e245fa93448190919cb04534560542 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1aed17fc881908b45dcde14790d42 |
completed | April 29, 2026, 7:10 a.m. |
Created at: April 17, 2026, 6:11 p.m.