Triple
T9975970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duke of Bremen-Verden |
E196327
|
entity |
| Predicate | sovereignOver |
P8163
|
FINISHED |
| Object | Bremen-Verden |
E103116
|
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: Bremen-Verden | Statement: [Duke of Bremen-Verden, sovereignOver, Bremen-Verden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bremen-Verden Context triple: [Duke of Bremen-Verden, sovereignOver, Bremen-Verden]
-
A.
Bremen-Verden
chosen
Bremen-Verden was a former duchy in northern Germany that emerged from the secularized prince-bishoprics of Bremen and Verden and was at times ruled in personal union by Sweden.
-
B.
Free City of Bremen
The Free City of Bremen was an autonomous Hanseatic city-state in northern Germany that maintained significant commercial and political independence within various German political unions.
-
C.
Dinkelscherben
Dinkelscherben is a municipality in the Swabian region of Bavaria in southern Germany.
-
D.
Orlamünde
Orlamünde is a small historic town in the German state of Thuringia, situated along the Saale River.
-
E.
Stadt Norden
Stadt Norden is the municipal government administration responsible for managing local affairs in the town of Norden in Lower Saxony, Germany.
- 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_69ca82eea2b88190a0e511d21a31f386 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb84b47308190aa2f94fa7320cdc3 |
completed | April 2, 2026, 12:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d257c9f6cc81908256dc1e8d6c3fea |
completed | April 5, 2026, 12:38 p.m. |
Created at: March 30, 2026, 8:48 p.m.