Triple
T20644852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gmunden District |
E507327
|
entity |
| Predicate | containsLake |
P1025
|
FINISHED |
| Object | Mondsee |
—
|
NE NERFINISHED |
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: Mondsee | Statement: [Gmunden District, containsLake, Mondsee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mondsee Context triple: [Gmunden District, containsLake, Mondsee]
-
A.
Mondsee
chosen
Mondsee is a picturesque lake in Austria’s Salzkammergut region, renowned for its scenic alpine setting and popular water sports and leisure activities.
-
B.
Wörthersee
Wörthersee is a popular alpine lake in southern Austria known for its warm, turquoise waters and surrounding resort towns.
-
C.
Quenzsee
Quenzsee is a lake in the German state of Brandenburg, located near the city of Brandenburg an der Havel and forming part of the region’s interconnected waterway system.
-
D.
Walchensee
Walchensee is a large alpine lake in Bavaria, Germany, renowned for its clear turquoise waters, scenic mountain surroundings, and use in hydroelectric power generation.
-
E.
Silsersee
Silsersee is a picturesque alpine lake in the Upper Engadine region of Switzerland, renowned for its scenic mountain setting and cultural associations with figures like Friedrich Nietzsche.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4be702c8190a3d2410a881d310a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6af1d0be481909e090193dcfd9cf6 |
completed | April 20, 2026, 10:56 p.m. |
Created at: April 16, 2026, 11:43 a.m.