Triple
T10172331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baden District |
E235360
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Kottingbrunn |
E835525
|
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: Kottingbrunn | Statement: [Baden District, contains, Kottingbrunn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kottingbrunn Context triple: [Baden District, contains, Kottingbrunn]
-
A.
Kottingbrunn
chosen
Kottingbrunn is a market town in Lower Austria known for its historic castle complex and location within the Baden district south of Vienna.
-
B.
Neuötting
Neuötting is a small Bavarian town in southeastern Germany known for its historic town center and location near the Austrian border.
-
C.
Wessobrunn
Wessobrunn is a Bavarian municipality best known for the Wessobrunn Abbey and its early medieval "Wessobrunn Prayer," one of the oldest poetic texts in the German language.
-
D.
Schneizlreuth
Schneizlreuth is a small Bavarian municipality in southeastern Germany, known for its alpine landscapes and location near the Austrian border.
-
E.
Burgkirchen
Burgkirchen is a municipality in southeastern Bavaria, Germany, known for its location in the rural, industrially influenced region near the Austrian border.
- 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_69e23aeb6f9c8190a986af35bcf353f7 |
completed | April 17, 2026, 1:51 p.m. |
Created at: March 30, 2026, 9:10 p.m.