Triple
T5349318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Böhmisch Aicha |
E124134
|
entity |
| Predicate | hasGermanName |
P1435
|
FINISHED |
| Object | Böhmisch Aicha |
E124134
|
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: Böhmisch Aicha | Statement: [Böhmisch Aicha, hasGermanName, Böhmisch Aicha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Böhmisch Aicha Context triple: [Böhmisch Aicha, hasGermanName, Böhmisch Aicha]
-
A.
Böhmisch Aicha
chosen
Böhmisch Aicha is a historical town in the Bohemian region of Central Europe, now known as Česká Lípa in the Czech Republic.
-
B.
Böhme
The Böhme is a river in Lower Saxony, Germany, known for flowing through the Lüneburg Heath region before joining the Aller.
-
C.
Tuchan
Tuchan is a small commune in southern France’s Aude department, known for its wine production and scenic location in the Corbières hills.
-
D.
Seraiki
Seraiki is an Indo-Aryan language spoken primarily in central and southern Pakistan, especially in the southern Punjab region.
-
E.
Bramsche
Bramsche is a town in Lower Saxony, Germany, known for its location near Osnabrück and its historical textile industry.
- 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_69bd464be27081908807b40b75c1bbae |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd860ea7088190ad7be14132927d17 |
completed | March 20, 2026, 5:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf21d0d4d08190a33c86553d2012fa |
completed | March 21, 2026, 10:55 p.m. |
Created at: March 20, 2026, 2:01 p.m.