Triple
T5186741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fangschleuse railway station |
E117048
|
entity |
| Predicate | regionServed |
P82
|
FINISHED |
| Object | Grünheide (Mark) area |
E117045
|
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: Grünheide (Mark) area | Statement: [Fangschleuse railway station, regionServed, Grünheide (Mark) area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grünheide (Mark) area Context triple: [Fangschleuse railway station, regionServed, Grünheide (Mark) area]
-
A.
Grünheide (Mark)
chosen
Grünheide (Mark) is a municipality in the German state of Brandenburg, southeast of Berlin, known for hosting major industrial developments and being surrounded by forests and lakes.
-
B.
Ueffelner Aue
Ueffelner Aue is a small river in Lower Saxony, Germany, that flows through rural landscapes before joining the Hase.
-
C.
Mühlenbecker Land
Mühlenbecker Land is a municipality in the Oberhavel district of Brandenburg, Germany, known for its proximity to Berlin and its mix of forests, lakes, and residential areas.
-
D.
Wöhrder Wiese
Wöhrder Wiese is a green riverside park area in Nuremberg, Germany, known for recreation and events near the city center.
-
E.
Hakenfelde
Hakenfelde is a locality in the Berlin borough of Spandau, known for its residential areas, green spaces, and proximity to the Havel River.
- 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_69bd44620ff48190bcac01782107a397 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd79c3e9e08190848be4208b72f310 |
completed | March 20, 2026, 4:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bef7f9a1c48190939a5073bd779be6 |
completed | March 21, 2026, 7:56 p.m. |
Created at: March 20, 2026, 1:46 p.m.