Triple
T7452073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fuschl am See |
E172031
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | Fuschlsee |
E597999
|
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: Fuschlsee | Statement: [Fuschl am See, locatedOn, Fuschlsee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fuschlsee Context triple: [Fuschl am See, locatedOn, Fuschlsee]
-
A.
Fuschlsee
chosen
Fuschlsee is a picturesque alpine lake in Austria known for its clear turquoise waters, surrounding forested hills, and popular recreational activities such as swimming, hiking, and boating.
-
B.
Wolfgangsee
Wolfgangsee is a picturesque alpine lake in Austria renowned for its clear waters, surrounding mountains, and popular lakeside resort towns such as St. Wolfgang and St. Gilgen.
-
C.
Wörthersee
Wörthersee is a popular alpine lake in southern Austria known for its warm, turquoise waters and surrounding resort towns.
-
D.
Mondsee
Mondsee is a picturesque lake in Austria’s Salzkammergut region, renowned for its scenic alpine setting and popular water sports and leisure activities.
-
E.
Attersee
Attersee is a large, clear alpine lake in Upper Austria known for its scenic beauty, sailing, and diving opportunities.
- 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_69c68a66554c8190add75c65942c0317 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f38d6a8c8190af2e73c719da87a6 |
completed | March 27, 2026, 9:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83455d84c8190bd129fda0813dc56 |
completed | March 28, 2026, 8:04 p.m. |
Created at: March 27, 2026, 3:14 p.m.