Triple
T7452074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fuschl am See |
E172031
|
entity |
| Predicate | hasNameInGerman |
P22792
|
FINISHED |
| Object | Fuschl am See |
E172031
|
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: Fuschl am See | Statement: [Fuschl am See, hasNameInGerman, Fuschl am See]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fuschl am See Context triple: [Fuschl am See, hasNameInGerman, Fuschl am See]
-
A.
Fuschl am See
chosen
Fuschl am See is a small lakeside town in the Austrian state of Salzburg, known for its scenic Alpine setting and as the home base of the energy drink company Red Bull.
-
B.
Attersee
Attersee is a large, clear alpine lake in Upper Austria known for its scenic beauty, sailing, and diving opportunities.
-
C.
Zell am See
Zell am See is a popular Austrian alpine town and lakeside resort known for its scenic mountain setting, skiing, and outdoor recreation.
-
D.
Ischl
The Ischl is a river in Upper Austria that flows through the spa town of Bad Ischl before joining the Traun.
-
E.
Pöchlarn
Pöchlarn is a small town in Lower Austria best known as the birthplace of the expressionist painter Oskar Kokoschka.
- 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_69c83c57e1d0819081562638236debce |
completed | March 28, 2026, 8:38 p.m. |
Created at: March 27, 2026, 3:14 p.m.