Triple
T10399143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Obernai |
E245096
|
entity |
| Predicate | twinnedWith |
P1072
|
FINISHED |
| Object | Gengenbach |
E489546
|
NE FINISHED |
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: Gengenbach | Statement: [Obernai, twinnedWith, Gengenbach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gengenbach Context triple: [Obernai, twinnedWith, Gengenbach]
-
A.
Gengenbach
chosen
Gengenbach is a historic town in Germany’s Black Forest region, known for its well-preserved medieval old town and picturesque half-timbered houses.
-
B.
Gernsbach
Gernsbach is a historic town in southwestern Germany’s Black Forest region, known for its medieval old town and picturesque setting along the Murg River.
-
C.
Beutelsbach
Beutelsbach is a small municipality in the rural Passau district of Lower Bavaria in southeastern Germany.
-
D.
Orisbach
Orisbach is a small stream in Switzerland that serves as a tributary of the Ergolz River in the canton of Basel-Landschaft.
-
E.
Obergoms
Obergoms is a municipality in the canton of Valais in southwestern Switzerland, known for its high Alpine landscapes and traditional mountain villages.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9d1f2408190beaa8197641c66b4 |
completed | April 7, 2026, 11:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96b1d5b388190841ed0df2145ad7a |
completed | April 10, 2026, 9:26 p.m. |
Created at: April 6, 2026, 12:07 p.m.