Triple
T9487145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mostviertel |
E228789
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Weinviertel |
E645407
|
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: Weinviertel | Statement: [Mostviertel, borders, Weinviertel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Weinviertel Context triple: [Mostviertel, borders, Weinviertel]
-
A.
Weinviertel
chosen
Weinviertel is a wine-producing region in northeastern Lower Austria, known for its rolling vineyards and characteristic Grüner Veltliner wines.
-
B.
Waldviertel
Waldviertel is a rural, forested region in northern Lower Austria known for its rugged landscapes, small villages, and traditional agriculture.
-
C.
Traunviertel
Traunviertel is a historical and geographical region in southeastern Upper Austria, characterized by the Traun River, Alpine foothills, and a mix of industrial towns and rural landscapes.
-
D.
Mühlviertel
Mühlviertel is a rural, hilly region in northern Upper Austria known for its forests, granite landscapes, and traditional villages.
-
E.
Heusteigviertel
Heusteigviertel is a historic, centrally located residential quarter in Stuttgart known for its Wilhelminian-era architecture, cafés, and vibrant urban atmosphere.
- 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_69ca847424f081908180305555139f7a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd8051303881909566126a2688e41c |
completed | April 1, 2026, 8:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d139fdaccc8190b5c160aedcfcceca |
completed | April 4, 2026, 4:19 p.m. |
Created at: March 30, 2026, 7:55 p.m.