Triple
T21313082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oder-Spree |
E525393
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | town of Fürstenwalde/Spree |
—
|
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: town of Fürstenwalde/Spree | Statement: [Oder-Spree, contains, town of Fürstenwalde/Spree]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: town of Fürstenwalde/Spree Context triple: [Oder-Spree, contains, town of Fürstenwalde/Spree]
-
A.
Fürstenwalde
chosen
Fürstenwalde is a town in eastern Germany’s Brandenburg region, known for its location on the River Spree and its historic churches and medieval architecture.
-
B.
Schönwalde
Schönwalde is a locality within the municipality of Wandlitz in the state of Brandenburg, Germany.
-
C.
Luhe-Wildenau
Luhe-Wildenau is a municipality in the district of Neustadt an der Waldnaab in the Upper Palatinate region of Bavaria, Germany.
-
D.
Wandlitz
Wandlitz is a municipality in the German state of Brandenburg, known for its lakes, forests, and proximity to Berlin.
-
E.
Niederschöneweide
Niederschöneweide is a locality in the Berlin borough of Treptow-Köpenick, known for its riverside setting along the Spree and its mix of residential areas and former industrial sites.
- 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_69e0b518b8948190ad69cf9a8784d397 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e75dcc6350819093763632b7e6e4ac |
completed | April 21, 2026, 11:21 a.m. |
Created at: April 16, 2026, 4:25 p.m.