Triple
T17832204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nunkirchen |
E445284
|
entity |
| Predicate | nearbyTown |
P3883
|
FINISHED |
| Object | Losheim am See |
—
|
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: Losheim am See | Statement: [Nunkirchen, nearbyTown, Losheim am See]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Losheim am See Context triple: [Nunkirchen, nearbyTown, Losheim am See]
-
A.
Losheim am See
chosen
Losheim am See is a municipality in the Saarland region of western Germany, known for its scenic reservoir and surrounding natural landscapes that attract tourists and outdoor enthusiasts.
-
B.
Holzheim am Lech
Holzheim am Lech is a small Bavarian municipality located in southern Germany’s Donau-Ries district near the River Lech.
-
C.
Meimsheim
Meimsheim is a village in the municipality of Brackenheim in the Heilbronn district of Baden-Württemberg, Germany.
-
D.
Oberglauheim
Oberglauheim is a village in Bavaria, Germany, that forms one of the local districts of the town of Höchstädt an der Donau.
-
E.
Ettenheim
Ettenheim is a historic small town in southwestern Germany’s Baden-Württemberg region, known for its well-preserved old town and location near the Black Forest.
- 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_69d8b9f1a6d881909f024bc603111cdb |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48d257414819088730f48ad7ab9ae |
completed | April 19, 2026, 8:07 a.m. |
Created at: April 10, 2026, 10:15 a.m.