Triple
T18459403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bandorf |
E450990
|
entity |
| Predicate | hasLocalGovernment |
P2820
|
FINISHED |
| Object | Stadtverwaltung Remagen |
—
|
NE NERFINISHED |
How this triple was built (3 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: Stadtverwaltung Remagen | Statement: [Bandorf, hasLocalGovernment, Stadtverwaltung Remagen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stadtverwaltung Remagen Context triple: [Bandorf, hasLocalGovernment, Stadtverwaltung Remagen]
-
A.
City of Essen
The City of Essen is a major urban center in Germany’s Ruhr area, historically significant as a medieval ecclesiastical seat and later as an important industrial and coal-mining hub.
-
B.
Stadt Rhens Altstadt
Stadt Rhens Altstadt is the historic old town of Rhens in Rhineland-Palatinate, Germany, characterized by its medieval architecture, narrow streets, and well-preserved townscape along the Rhine River.
-
C.
Monheim am Rhein
Monheim am Rhein is a town in North Rhine-Westphalia, Germany, situated along the Rhine River and known for its strong local economy and family-friendly urban development.
-
D.
Ruhrort
Ruhrort is a historic inland port district of Duisburg in western Germany, known for its major role in Rhine and Ruhr river shipping and industry.
-
E.
Germersheim district
Germersheim district is a rural administrative district in the state of Rhineland-Palatinate in southwestern Germany, known for its location along the Rhine River and proximity to the French border.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stadtverwaltung Remagen Target entity description: Stadtverwaltung Remagen is the municipal administration responsible for governing and providing local public services in the town of Remagen, Germany.
-
A.
City of Essen
The City of Essen is a major urban center in Germany’s Ruhr area, historically significant as a medieval ecclesiastical seat and later as an important industrial and coal-mining hub.
-
B.
Stadt Rhens Altstadt
Stadt Rhens Altstadt is the historic old town of Rhens in Rhineland-Palatinate, Germany, characterized by its medieval architecture, narrow streets, and well-preserved townscape along the Rhine River.
-
C.
Monheim am Rhein
Monheim am Rhein is a town in North Rhine-Westphalia, Germany, situated along the Rhine River and known for its strong local economy and family-friendly urban development.
-
D.
Ruhrort
Ruhrort is a historic inland port district of Duisburg in western Germany, known for its major role in Rhine and Ruhr river shipping and industry.
-
E.
Germersheim district
Germersheim district is a rural administrative district in the state of Rhineland-Palatinate in southwestern Germany, known for its location along the Rhine River and proximity to the French border.
- F. None of above. chosen
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_69d8d38345688190b565eac2e4cd7935 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e52a7cdb5c8190a399f0e4052f7d1f |
completed | April 19, 2026, 7:18 p.m. |
Created at: April 10, 2026, 11:33 a.m.