Triple
T14977643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salzkammergut |
E373492
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Gosau |
E952688
|
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: Gosau | Statement: [Salzkammergut, contains, Gosau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gosau Context triple: [Salzkammergut, contains, Gosau]
-
A.
Gosau
chosen
Gosau is a picturesque alpine village in Austria’s Salzkammergut region, known for its dramatic mountain scenery, traditional rural character, and proximity to the Dachstein massif.
-
B.
Pitztal
Pitztal is a valley in the Austrian Tyrol known for its high alpine scenery, glacier skiing, and access to prominent peaks in the Ötztal Alps.
-
C.
Viechtach
Viechtach is a small town in the Bavarian Forest region of southeastern Germany, known for its scenic landscapes and outdoor recreation.
-
D.
Dettelbach
Dettelbach is a small historic town in the Franconian wine-growing region of northern Bavaria, Germany, known for its medieval architecture and surrounding vineyards.
-
E.
Kremstal
Kremstal is an Austrian wine region in Lower Austria known for its high-quality Grüner Veltliner and Riesling wines produced along the Danube near the town of Krems.
- 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_69d85ccbbcd48190acb56e7cf104d8ad |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6fbd138819092254ea37388026c |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed31c0ab08190814c41d852f9f523 |
completed | May 9, 2026, 6:24 a.m. |
Created at: April 10, 2026, 2:51 a.m.