Triple
T22793174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Feldkirchen (Austria) |
E564167
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Lake Ossiach |
—
|
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: Lake Ossiach | Statement: [Feldkirchen (Austria), locatedNear, Lake Ossiach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Ossiach Context triple: [Feldkirchen (Austria), locatedNear, Lake Ossiach]
-
A.
Lake Senftenberg
Lake Senftenberg is an artificial lake in eastern Germany, popular as a recreational area for swimming, boating, and tourism.
-
B.
Ossiacher See
chosen
Ossiacher See is a picturesque alpine lake in the Austrian state of Carinthia, known for its scenic surroundings, water sports, and lakeside resorts.
-
C.
Seliger Lake
Seliger Lake is a large glacial lake in northwestern Russia, known for its scenic, island-dotted waters and popularity as a nature and recreation destination.
-
D.
Hallstätter See
Hallstätter See is a picturesque alpine lake in Austria’s Salzkammergut region, renowned for its dramatic mountain scenery and the historic lakeside village of Hallstatt.
-
E.
Lake Wörthsee
Lake Wörthsee is a scenic Bavarian lake in southern Germany known for its clear waters, recreational activities, and proximity to Munich.
- 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_69e2458185f88190b0045227ee420411 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17cd751f081909c7907c96c9906ea |
completed | April 29, 2026, 3:36 a.m. |
Created at: April 17, 2026, 3:30 p.m.