Triple
T16732054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S-Bahn line S2 (Berlin) |
E406614
|
entity |
| Predicate | servesStation |
P839
|
FINISHED |
| Object | Röntgental station |
E1021837
|
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: Röntgental station | Statement: [S-Bahn line S2 (Berlin), servesStation, Röntgental station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Röntgental station Context triple: [S-Bahn line S2 (Berlin), servesStation, Röntgental station]
-
A.
Röntgental station
chosen
Röntgental station is a local railway stop serving the village of Röntgental in the municipality of Panketal, Brandenburg, Germany.
-
B.
Hengst station
Hengst station is a mountain railway terminus serving as the upper endpoint of the Schneeberg line in Lower Austria.
-
C.
Rommen station
Rommen station is a metro stop in Oslo, Norway, located in the Groruddalen area and integrated into the city's rapid transit network.
-
D.
Nesttun station
Nesttun station is a light rail stop on Bergen's Bybanen system in Norway, serving the Nesttun neighborhood as a local transit hub.
-
E.
Vestli station
Vestli station is an Oslo Metro rapid transit station located in the Vestli neighborhood in the Stovner borough of Oslo, Norway.
- 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_69d8838f242881908abd8bc138795886 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e39c362bb88190921fab43d76c3ee8 |
completed | April 18, 2026, 2:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a009d4a94688190aabe56c34e8cc2c3 |
completed | May 10, 2026, 2:59 p.m. |
Created at: April 10, 2026, 5:20 a.m.