Triple
T9071298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bezirk Baden |
E217371
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Kottingbrunn
Kottingbrunn is a market town in Lower Austria known for its historic castle complex and location within the Baden district south of Vienna.
|
E835525
|
NE FINISHED |
How this triple was built (4 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: [Bezirk Baden, contains, Kottingbrunn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kottingbrunn Context triple: [Bezirk Baden, contains, Kottingbrunn]
-
A.
Neuötting
Neuötting is a small Bavarian town in southeastern Germany known for its historic town center and location near the Austrian border.
-
B.
Schneizlreuth
Schneizlreuth is a small Bavarian municipality in southeastern Germany, known for its alpine landscapes and location near the Austrian border.
-
C.
Schönbichl
Schönbichl is a small island located in the Eibsee, a picturesque alpine lake at the foot of Germany’s Zugspitze mountain.
-
D.
Neulengbach
Neulengbach is a small town in Lower Austria known for its historic center and its location within the Vienna Woods region.
-
E.
Niederwerrn
Niederwerrn is a municipality in the Schweinfurt district of Lower Franconia in northern Bavaria, Germany.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kottingbrunn Triple: [Bezirk Baden, contains, Kottingbrunn]
Generated description
Kottingbrunn is a market town in Lower Austria known for its historic castle complex and location within the Baden district south of Vienna.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kottingbrunn Target entity description: Kottingbrunn is a market town in Lower Austria known for its historic castle complex and location within the Baden district south of Vienna.
-
A.
Neuötting
Neuötting is a small Bavarian town in southeastern Germany known for its historic town center and location near the Austrian border.
-
B.
Schneizlreuth
Schneizlreuth is a small Bavarian municipality in southeastern Germany, known for its alpine landscapes and location near the Austrian border.
-
C.
Schönbichl
Schönbichl is a small island located in the Eibsee, a picturesque alpine lake at the foot of Germany’s Zugspitze mountain.
-
D.
Neulengbach
Neulengbach is a small town in Lower Austria known for its historic center and its location within the Vienna Woods region.
-
E.
Niederwerrn
Niederwerrn is a municipality in the Schweinfurt district of Lower Franconia in northern Bavaria, Germany.
- F. None of above. chosen
Provenance (5 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_69ca83d5a7f48190b16c1e59bd43ede0 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc955ec5c0819089bb42448edf391e |
completed | April 1, 2026, 3:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2696450e4819086d5aac368127e5f |
completed | April 5, 2026, 1:53 p.m. |
| NEDg | Description generation | batch_69d26b3e1b948190a76cf7ad91a1e0a5 |
completed | April 5, 2026, 2:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d26c0c9ee88190867f8531e9ffbf27 |
completed | April 5, 2026, 2:05 p.m. |
Created at: March 30, 2026, 7:12 p.m.