Triple
T8020360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unstrut River region |
E186724
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Freyburg (Unstrut) |
E189697
|
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: Freyburg (Unstrut) | Statement: [Unstrut River region, contains, Freyburg (Unstrut)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Freyburg (Unstrut) Context triple: [Unstrut River region, contains, Freyburg (Unstrut)]
-
A.
Freyburg (Unstrut)
chosen
Freyburg (Unstrut) is a historic wine-growing town in Saxony-Anhalt, Germany, renowned for its vineyards and medieval architecture along the Unstrut River.
-
B.
Frohnhausen
Frohnhausen is a district (Ortsteil) of the town of Dillenburg in the Lahn-Dill-Kreis of Hesse, Germany.
-
C.
Fröndenberg
Fröndenberg is a small town in North Rhine-Westphalia, Germany, situated on the Ruhr River and known for its scenic rural surroundings.
-
D.
Weiterstadt
Weiterstadt is a town in the German state of Hesse, located near Darmstadt and known for its residential areas and commercial centers.
-
E.
Berga an der Elster
Berga an der Elster is a small town in Thuringia, Germany, historically known for hosting a Nazi concentration camp subcamp during World War II.
- 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_69ca82ac7fc081909b1398cf025423af |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3e8d90488190b57d1e748e272061 |
completed | March 31, 2026, 3:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc56c82824819082e93eddc40bfad1 |
completed | March 31, 2026, 11:20 p.m. |
Created at: March 30, 2026, 5:20 p.m.