Triple
T10172325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baden District |
E235360
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Traiskirchen |
E781736
|
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: Traiskirchen | Statement: [Baden District, contains, Traiskirchen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Traiskirchen Context triple: [Baden District, contains, Traiskirchen]
-
A.
Traiskirchen
chosen
Traiskirchen is a town in Lower Austria best known internationally for hosting one of Austria’s largest refugee reception centers.
-
B.
Gumpoldskirchen
Gumpoldskirchen is a historic wine-growing town in Lower Austria, renowned for its traditional vineyards and picturesque setting near Vienna.
-
C.
Vöcklabruck
Vöcklabruck is a small historic town in Upper Austria known as a regional center near the Attersee lake and the foothills of the Alps.
-
D.
Schärding
Schärding is a historic Austrian town on the border with Germany, known for its well-preserved baroque old town and riverside setting.
-
E.
Neustadtl an der Donau
Neustadtl an der Donau is a small Austrian town on the Danube River, historically noted as the place where the Habsburg field marshal Ernst Gideon von Laudon died.
- 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_69d30101e3ec819095a587c0dae55f71 |
completed | April 6, 2026, 12:40 a.m. |
Created at: March 30, 2026, 9:10 p.m.