Triple
T10172330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baden District |
E235360
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Oberwaltersdorf |
E786098
|
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: Oberwaltersdorf | Statement: [Baden District, contains, Oberwaltersdorf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oberwaltersdorf Context triple: [Baden District, contains, Oberwaltersdorf]
-
A.
Oberwaltersdorf
chosen
Oberwaltersdorf is a municipality in Lower Austria known for its residential character, proximity to Vienna, and local wine-growing and leisure facilities.
-
B.
Leobersdorf
Leobersdorf is a market town in Lower Austria known for its wine-growing tradition and location in the Baden district south of Vienna.
-
C.
Wengelsdorf
Wengelsdorf is a small municipality in the German state of Saxony-Anhalt, situated within the administrative area around the town of Weißenfels.
-
D.
Weißkirchen
Weißkirchen is a district of the town Oberursel in the Taunus region of Hesse, Germany, characterized by its suburban residential setting near Frankfurt.
-
E.
Wintersdorf
Wintersdorf is a village and district of the town of Rastatt in the state of Baden-Württemberg in southwestern Germany.
- 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_69ca84ceafd0819085828600e11bed6b |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdec9f6dd8819081588600499165ee |
completed | April 2, 2026, 4:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d32acbd9ec81908849b17d8ba1dd11 |
completed | April 6, 2026, 3:38 a.m. |
Created at: March 30, 2026, 9:10 p.m.