Triple
T19086299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sonnjoch |
E467156
|
entity |
| Predicate | nearestLake |
P47449
|
FINISHED |
| Object | Achensee |
—
|
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: Achensee | Statement: [Sonnjoch, nearestLake, Achensee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Achensee Context triple: [Sonnjoch, nearestLake, Achensee]
-
A.
Achensee
chosen
Achensee is a large alpine lake in Tyrol, Austria, renowned for its clear turquoise waters and surrounding mountain scenery that make it a popular destination for outdoor recreation and tourism.
-
B.
Mondsee
Mondsee is a picturesque lake in Austria’s Salzkammergut region, renowned for its scenic alpine setting and popular water sports and leisure activities.
-
C.
Wörthersee
Wörthersee is a popular alpine lake in southern Austria known for its warm, turquoise waters and surrounding resort towns.
-
D.
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.
-
E.
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.
- 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_69d8dd05ac4c8190b1967d8f97f3fb2f |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e347ee288190a3e935ff89ca94aa |
completed | April 20, 2026, 8:26 a.m. |
Created at: April 10, 2026, 12:04 p.m.