Triple
T10172327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baden District |
E235360
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Pfaffstätten |
E796299
|
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: Pfaffstätten | Statement: [Baden District, contains, Pfaffstätten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pfaffstätten Context triple: [Baden District, contains, Pfaffstätten]
-
A.
Pfaffstätten
chosen
Pfaffstätten is a market town in Lower Austria known for its wine-growing tradition and location within the Baden district near Vienna.
-
B.
Gersthofen
Gersthofen is a town in Bavaria, Germany, located just north of Augsburg and known for its industrial presence and role as a regional transport hub.
-
C.
Gneixendorf
Gneixendorf is a village and cadastral community that forms part of the city of Krems an der Donau in Lower Austria.
-
D.
Pennenfeld
Pennenfeld is a residential subdistrict of the Bonn borough of Bad Godesberg in Germany.
-
E.
Pottendorf
Pottendorf is a market town in Lower Austria known for its historic castle and location within the Baden district.
- 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_69e343941ae481909489cf7a4abdba68 |
completed | April 18, 2026, 8:40 a.m. |
Created at: March 30, 2026, 9:10 p.m.