Triple
T19602750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kreuzberg (Rhön) |
E470521
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Bischofsheim an der Rhön |
—
|
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: Bischofsheim an der Rhön | Statement: [Kreuzberg (Rhön), locatedNear, Bischofsheim an der Rhön]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bischofsheim an der Rhön Context triple: [Kreuzberg (Rhön), locatedNear, Bischofsheim an der Rhön]
-
A.
Bischofsheim an der Rhön
chosen
Bischofsheim an der Rhön is a small town in northern Bavaria, Germany, known for its location in the scenic Rhön Mountains and its access to hiking and nature tourism.
-
B.
Hochheim am Main
Hochheim am Main is a historic wine-producing town in the German state of Hesse, renowned for its Riesling wines and scenic location along the Main River near the Rheingau region.
-
C.
Höchheim
Höchheim is a small municipality in the Rhön-Grabfeld district of northern Bavaria, Germany.
-
D.
Bischofshof
Bischofshof is a historic former episcopal residence and notable architectural landmark located in the German town of Ladenburg.
-
E.
Bischofswiesen
Bischofswiesen is a municipality in the Bavarian Alps of southeastern Germany, known for its scenic mountain landscapes and proximity to Berchtesgaden.
- 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_69d8e510024481908415c0d616fa6186 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e64080a57c8190837cbe82b93163bf |
completed | April 20, 2026, 3:04 p.m. |
Created at: April 10, 2026, 1:43 p.m.