Triple
T1243628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ringbahn |
E26713
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Berlin S-Bahn |
E26713
|
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: Berlin S-Bahn | Statement: [Ringbahn, partOf, Berlin S-Bahn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Berlin S-Bahn Context triple: [Ringbahn, partOf, Berlin S-Bahn]
-
A.
Berlin S-Bahn
chosen
The Berlin S-Bahn is a rapid transit railway network serving Berlin and its surrounding areas, integrating suburban and urban rail services across the metropolitan region.
-
B.
Berlin U-Bahn
The Berlin U-Bahn is the German capital’s extensive underground rapid transit system, forming a core part of its public transportation network.
-
C.
S-Bahn
The S-Bahn is a German urban and suburban rapid transit rail system that connects city centers with surrounding metropolitan regions.
-
D.
Nuremberg U-Bahn
The Nuremberg U-Bahn is the rapid transit system serving Nuremberg and its surrounding area in Germany, known for being one of the first networks to operate fully automated driverless trains.
-
E.
Berlin public transport network
The Berlin public transport network is an integrated system of urban and regional trains, trams, buses, and ferries that provides comprehensive mobility across Germany’s capital and its surrounding areas.
- 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_69a4948689d08190b3a4a3f388c02148 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bf636e208190a4d56806db61916c |
completed | March 1, 2026, 10:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acb2f8a4208190bfcfeccc886de987 |
completed | March 7, 2026, 11:21 p.m. |
Created at: March 1, 2026, 7:47 p.m.