Triple
T10371942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valence, Drôme |
E244403
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Bitterfeld-Wolfen, Germany |
E118183
|
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: Bitterfeld-Wolfen, Germany | Statement: [Valence, Drôme, hasTwinTown, Bitterfeld-Wolfen, Germany]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bitterfeld-Wolfen, Germany Context triple: [Valence, Drôme, hasTwinTown, Bitterfeld-Wolfen, Germany]
-
A.
Frohnhausen, Germany
Frohnhausen is a district in Germany known in part for its town-twinning partnership with Much Wenlock in England.
-
B.
Friedberg, Germany
Friedberg, Germany is a historic town in the state of Hesse known for its medieval architecture, including a well-preserved castle and old town center.
-
C.
Bitterfeld-Wolfen
chosen
Bitterfeld-Wolfen is a town in Saxony-Anhalt, Germany, known for its industrial heritage, particularly in chemical production and film manufacturing.
-
D.
Schröttinghausen, Germany
Schröttinghausen is a small locality in Germany best known as the birthplace of influential astronomer Walter Baade.
-
E.
Saalfeld, Germany
Saalfeld is a historic town in the German state of Thuringia, known for its well-preserved medieval architecture and scenic location on the Saale 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e97ed09c8190a3627aa7b5eea62f |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7956469988190b5a9b2dfe062379f |
completed | April 9, 2026, 12:02 p.m. |
Created at: April 6, 2026, 12:01 p.m.