Triple
T22123832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diessenhofen |
E546741
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Gailingen am Hochrhein |
—
|
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: Gailingen am Hochrhein | Statement: [Diessenhofen, borders, Gailingen am Hochrhein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gailingen am Hochrhein Context triple: [Diessenhofen, borders, Gailingen am Hochrhein]
-
A.
Gailingen am Hochrhein
chosen
Gailingen am Hochrhein is a German municipality on the Upper Rhine in the state of Baden-Württemberg, known for its scenic riverside location near the Swiss border.
-
B.
Hohentengen am Hochrhein
Hohentengen am Hochrhein is a municipality in southwestern Germany located on the Upper Rhine near the Swiss border.
-
C.
Deggingen
Deggingen is a small municipality in the German state of Baden-Württemberg, situated in the Swabian Jura and known for its scenic valley setting along the Fils River.
-
D.
Nideggen
Nideggen is a historic town in North Rhine-Westphalia, Germany, known for its medieval castle and scenic location in the Eifel region.
-
E.
Gündlingen
Gündlingen is a village and district of the town Breisach am Rhein in the state of Baden-Württemberg in southwestern Germany.
- 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_69e11e39bf348190b541bfa16a7b71e0 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1298016e081909d00015ca516d9fd |
completed | April 28, 2026, 9:41 p.m. |
Created at: April 16, 2026, 8:31 p.m.