Triple
T10153594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johannes Blaskowitz |
E232710
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object | Paterswalde |
E232710
|
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: Paterswalde | Statement: [Johannes Blaskowitz, birthPlace, Paterswalde]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paterswalde Context triple: [Johannes Blaskowitz, birthPlace, Paterswalde]
-
A.
Paterswalde
chosen
Paterswalde was a locality in former East Prussia (now in Poland or Russia’s Kaliningrad region) known historically as the birthplace of German Wehrmacht general Johannes Blaskowitz.
-
B.
Ödsbach
Ödsbach is a village and district of the town of Oberkirch in the Ortenau region of Baden-Württemberg, Germany, known for its scenic vineyards and Black Forest landscape.
-
C.
Tussenhausen
Tussenhausen is a municipality in the district of Unterallgäu in Bavaria, Germany, known for its rural character and small villages such as Mattsies.
-
D.
Weidenau
Weidenau is a district of the city of Siegen in North Rhine-Westphalia, Germany.
-
E.
Bleidenstadt
Bleidenstadt is a district of the town of Taunusstein in the Rheingau-Taunus region of Hesse, Germany, known for its historic church and small-town character.
- 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_69ca84885e48819088a31b127cf44904 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdec376cd48190990862c56c3a4dce |
completed | April 2, 2026, 4:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2d62cce008190ae269bbd289625a0 |
completed | April 18, 2026, 12:54 a.m. |
Created at: March 30, 2026, 9:08 p.m.