Triple
T22550064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lebern electoral district |
E557534
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Nennigkofen |
—
|
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: Nennigkofen | Statement: [Lebern electoral district, hasMunicipality, Nennigkofen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nennigkofen Context triple: [Lebern electoral district, hasMunicipality, Nennigkofen]
-
A.
Etzelkofen
Etzelkofen is a former Swiss municipality in the canton of Bern that has been incorporated into the larger municipality of Fraubrunnen.
-
B.
Vilgertshofen
Vilgertshofen is a small rural municipality in the Bavarian region of Germany, characterized by its agricultural landscape and village-style community.
-
C.
Lüterkofen
chosen
Lüterkofen is a village and former municipality in the canton of Solothurn in Switzerland.
-
D.
Netzschkau
Netzschkau is a small town in the Vogtland region of Saxony in eastern Germany, known for its historic castle and scenic surroundings.
-
E.
Gerhardshofen
Gerhardshofen is a small rural municipality in the district of Neustadt an der Aisch-Bad Windsheim in the German state of Bavaria.
- 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.