Triple
T22550071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lebern electoral district |
E557534
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Deitingen |
—
|
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: Deitingen | Statement: [Lebern electoral district, hasMunicipality, Deitingen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deitingen Context triple: [Lebern electoral district, hasMunicipality, Deitingen]
-
A.
Deitingen
chosen
Deitingen is a municipality in the canton of Solothurn in northwestern Switzerland.
-
B.
Gundremmingen
Gundremmingen is a small Bavarian municipality best known for hosting one of Germany’s major nuclear power plants.
-
C.
Karlsfeld
Karlsfeld is a municipality in Bavaria, Germany, located just northwest of Munich and known as a suburban residential area with good transport links to the city.
-
D.
Schwetzingen
Schwetzingen is a town in southwestern Germany renowned for its Baroque palace and extensive formal gardens.
-
E.
Willadingen
Willadingen is a small Swiss village located in the Emmental region of the canton of Bern.
- 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_69e11e59db848190b4272ecd2b690ffd |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f74512c8190b5369e19a4bc6325 |
completed | April 29, 2026, 1:31 a.m. |
Created at: April 16, 2026, 8:52 p.m.