Triple
T12300466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guben |
E293204
|
entity |
| Predicate | hasRailwayStation |
P918
|
FINISHED |
| Object |
Guben station
Guben station is a railway station in the town of Guben in Brandenburg, Germany, serving regional passenger rail services.
|
E977598
|
NE FINISHED |
How this triple was built (4 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: Guben station | Statement: [Guben, hasRailwayStation, Guben station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guben station Context triple: [Guben, hasRailwayStation, Guben station]
-
A.
Hengst station
Hengst station is a mountain railway terminus serving as the upper endpoint of the Schneeberg line in Lower Austria.
-
B.
Kommunarka station
Kommunarka station is a southern terminal metro station on Moscow’s Sokolnicheskaya Line, serving the rapidly developing Kommunarka district.
-
C.
Nikolassee station
Nikolassee station is a Berlin S-Bahn railway station in the Nikolassee district, serving as a local transit hub on the city's southwestern rail network.
-
D.
Igelboda station
Igelboda station is a local stop on the Saltsjöbanan suburban railway line serving the Saltsjöbaden area near Stockholm, Sweden.
-
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. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Guben station Triple: [Guben, hasRailwayStation, Guben station]
Generated description
Guben station is a railway station in the town of Guben in Brandenburg, Germany, serving regional passenger rail services.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Guben station Target entity description: Guben station is a railway station in the town of Guben in Brandenburg, Germany, serving regional passenger rail services.
-
A.
Hengst station
Hengst station is a mountain railway terminus serving as the upper endpoint of the Schneeberg line in Lower Austria.
-
B.
Kommunarka station
Kommunarka station is a southern terminal metro station on Moscow’s Sokolnicheskaya Line, serving the rapidly developing Kommunarka district.
-
C.
Nikolassee station
Nikolassee station is a Berlin S-Bahn railway station in the Nikolassee district, serving as a local transit hub on the city's southwestern rail network.
-
D.
Igelboda station
Igelboda station is a local stop on the Saltsjöbanan suburban railway line serving the Saltsjöbaden area near Stockholm, Sweden.
-
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. chosen
Provenance (5 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_69d6ab6a2b50819082f6aedd32ed608a |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93edb59908190bcef9d0cdc11081f |
completed | April 10, 2026, 6:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62a9b8ef88190bce122f1b1800cd4 |
completed | May 2, 2026, 4:47 p.m. |
| NEDg | Description generation | batch_69f62c54e6b08190bdae0ec35cc1c48d |
completed | May 2, 2026, 4:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f62d0c2568819083e66c8ae484d30d |
completed | May 2, 2026, 4:57 p.m. |
Created at: April 8, 2026, 9:53 p.m.