Triple
T3923490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fiescher Glacier |
E93215
|
entity |
| Predicate | feedsRiver |
P40305
|
FINISHED |
| Object | Wysswasser |
E183972
|
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: Wysswasser | Statement: [Fiescher Glacier, feedsRiver, Wysswasser]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wysswasser Context triple: [Fiescher Glacier, feedsRiver, Wysswasser]
-
A.
Unterweser
Unterweser is the name given to the lower tidal section of the Weser River in northwestern Germany, extending from near Bremen to its mouth at the North Sea.
-
B.
Schwansee
Schwansee is a picturesque alpine lake in Bavaria, Germany, known for its scenic setting near Neuschwanstein and Hohenschwangau castles.
-
C.
Garrelsweer
Garrelsweer is a small village in the province of Groningen in the Netherlands, situated within the municipality of Eemsdelta.
-
D.
Landwasser
chosen
Landwasser is a river in the canton of Graubünden in eastern Switzerland that flows through the alpine town of Davos.
-
E.
Nahe
Nahe is a renowned German wine region, particularly celebrated for producing high-quality Riesling wines with diverse styles due to its varied soils and microclimates.
- 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_69aed96bfa1081908f7b30f2c647dee6 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeed7c2c848190a6d62e2df9b942d4 |
completed | March 9, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b52870268881908463e30c11cda797 |
completed | March 14, 2026, 9:20 a.m. |
Created at: March 9, 2026, 3:23 p.m.