Triple
T10634468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bergkamen |
E250540
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object | Oberaden |
E877737
|
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: Oberaden | Statement: [Bergkamen, hasSubdivision, Oberaden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oberaden Context triple: [Bergkamen, hasSubdivision, Oberaden]
-
A.
Oberaden
chosen
Oberaden is a district in the town of Bergkamen in North Rhine-Westphalia, Germany, known for its Roman archaeological site and historical significance.
-
B.
Obergoms
Obergoms is a municipality in the canton of Valais in southwestern Switzerland, known for its high Alpine landscapes and traditional mountain villages.
-
C.
Oberaudorf
Oberaudorf is a small Bavarian town in southern Germany near the Austrian border, known for its alpine scenery and ski tourism.
-
D.
Oberkirch
Oberkirch is a town in the Ortenau district of Baden-Württemberg in southwestern Germany, known for its wine production and picturesque location at the edge of the Black Forest.
-
E.
Oberbipp
Oberbipp is a municipality in the canton of Bern in Switzerland, located in the Oberaargau region at the southern foot of the Jura Mountains.
- 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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dfab47bc819086684edc1b6dce74 |
completed | April 8, 2026, 11:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbb6f0eee08190b4187671356e47ca |
completed | April 12, 2026, 3:14 p.m. |
Created at: April 8, 2026, 9:03 p.m.