Triple
T23171361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ebensee subcamp |
E578868
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Ebensee |
—
|
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: Ebensee | Statement: [Ebensee subcamp, locatedIn, Ebensee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ebensee Context triple: [Ebensee subcamp, locatedIn, Ebensee]
-
A.
Ebensee
chosen
Ebensee is an Austrian town in the Salzkammergut region, known for its lakeside setting amid the Alps and its historical significance including a former World War II concentration camp site.
-
B.
Eibsee
Eibsee is a picturesque alpine lake in Bavaria, Germany, renowned for its clear turquoise waters and dramatic setting at the foot of the Zugspitze.
-
C.
Geiseltalsee
Geiseltalsee is a large artificial lake in Saxony-Anhalt, Germany, created by flooding a former lignite mining area and now used for recreation and nature conservation.
-
D.
Scharmützelsee
Scharmützelsee is a popular lake in eastern Germany known for its scenic surroundings, recreational activities, and spa resorts.
-
E.
Riegsee
Riegsee is a picturesque lake in Bavaria, Germany, known for its clear waters and scenic Alpine surroundings.
- 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_69e245fd2a388190b814c0dfa15f7148 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18f3007108190bc3c831f81ae1dce |
completed | April 29, 2026, 4:55 a.m. |
Created at: April 17, 2026, 4:03 p.m.