Triple
T4392901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bern-Mittelland administrative district |
E99407
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Ostermundigen |
E423156
|
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: Ostermundigen | Statement: [Bern-Mittelland administrative district, contains, Ostermundigen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ostermundigen Context triple: [Bern-Mittelland administrative district, contains, Ostermundigen]
-
A.
Ostermundigen
chosen
Ostermundigen is a municipality in the canton of Bern, Switzerland, functioning as a suburban community directly adjacent to the city of Bern.
-
B.
Dietingen
Dietingen is a locality that forms one of the subdivisions of the municipality of Blaustein in the German state of Baden-Württemberg.
-
C.
Münklingen
Münklingen is a village and district of the town Weil der Stadt in the German state of Baden-Württemberg.
-
D.
Münsingen
Münsingen is a Swiss municipality in the canton of Bern, known for its scenic location in the Aare valley between Bern and Thun.
-
E.
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.
- 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_69b345506b408190b0e3dee616738a7d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b352a8862481909dc67abf42be6928 |
completed | March 12, 2026, 11:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5e53385508190ac1261c44672070b |
completed | March 14, 2026, 10:46 p.m. |
Created at: March 12, 2026, 11:19 p.m.