Triple
T12226265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schmalkaldic League |
E291358
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | City of Mühlhausen |
E351668
|
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: City of Mühlhausen | Statement: [Schmalkaldic League, hasMember, City of Mühlhausen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City of Mühlhausen Context triple: [Schmalkaldic League, hasMember, City of Mühlhausen]
-
A.
Mühlhausen
chosen
Mühlhausen is a historic town in central Germany, known for its well-preserved medieval architecture and cultural heritage.
-
B.
Karlstadt am Main
Karlstadt am Main is a historic town in northern Bavaria, Germany, situated on the River Main and known for its medieval old town and surrounding wine-growing region.
-
C.
Mühlhausen, Prussia
Mühlhausen, Prussia was a town in the former Kingdom of Prussia, notable as the birthplace of civil engineer and bridge designer John A. Roebling.
-
D.
Altdorf bei Nürnberg
Altdorf bei Nürnberg is a small historic town in Bavaria, Germany, known for its former university and proximity to the city of Nuremberg.
-
E.
Maichingen
Maichingen is a district of the city of Sindelfingen in the German state of Baden-Württemberg.
- 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_69d6ab668acc8190963ba424049d6aee |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91ca2101c8190955c36704935036a |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60aa9023881909f8373e02d2cad4b |
completed | May 2, 2026, 2:31 p.m. |
Created at: April 8, 2026, 9:51 p.m.