Triple
T9487430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ybbs |
E228796
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Ybbstal |
E803543
|
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: Ybbstal | Statement: [Ybbs, flowsThrough, Ybbstal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ybbstal Context triple: [Ybbs, flowsThrough, Ybbstal]
-
A.
Ybbstal
chosen
Ybbstal is a scenic alpine valley in Lower Austria, known for the Ybbs River, forested mountains, and popular outdoor recreation such as hiking and cycling.
-
B.
Horgau
Horgau is a small municipality in the Swabian region of Bavaria in southern Germany.
-
C.
Stanzertal
Stanzertal is an alpine valley in the Austrian state of Tyrol, known for its scenic landscapes and proximity to major ski resorts such as St. Anton am Arlberg.
-
D.
Landwassertal
Landwassertal is a valley in the Swiss canton of Graubünden, known for its dramatic alpine landscape and the famous Landwasser Viaduct of the Rhaetian Railway.
-
E.
Elztal
Elztal is a municipality in the Neckar-Odenwald district of Baden-Württemberg, Germany, known for its rural character and location in the Elz river valley.
- 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_69cd80c443b88190968d2092a73e1ee4 |
completed | April 1, 2026, 8:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d14bfc9c9c81909ee0a70c323949bf |
completed | April 4, 2026, 5:35 p.m. |
Created at: March 30, 2026, 7:55 p.m.