Triple
T21996240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kreis Jüterbog |
E543212
|
entity |
| Predicate | hadSettlement |
P16159
|
FINISHED |
| Object | Luckenwalde |
—
|
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: Luckenwalde | Statement: [Kreis Jüterbog, hadSettlement, Luckenwalde]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luckenwalde Context triple: [Kreis Jüterbog, hadSettlement, Luckenwalde]
-
A.
Luckenwalde
chosen
Luckenwalde is a town in the German state of Brandenburg known for its industrial heritage and historic architecture, including notable factory complexes.
-
B.
Luhe-Wildenau
Luhe-Wildenau is a municipality in the district of Neustadt an der Waldnaab in the Upper Palatinate region of Bavaria, Germany.
-
C.
Zossen
Zossen is a town in Brandenburg, Germany, historically notable as a major military command center, including serving as a key headquarters area during the Soviet occupation after World War II.
-
D.
Wedemark
Wedemark is a municipality in Lower Saxony, Germany, located north of Hanover and known for its semi-rural character and commuter links to the city.
-
E.
Nauen
Nauen is a historic town in the Havelland district of Brandenburg, Germany, known for its early radio transmission station and agricultural surroundings.
- 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_69e11e2c814c8190837d072789000486 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1276493bc81908567445e901bc3a7 |
completed | April 28, 2026, 9:32 p.m. |
Created at: April 16, 2026, 8:19 p.m.