Triple
T9770490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spreewald |
E237111
|
entity |
| Predicate | hasEthnicGroup |
P1898
|
FINISHED |
| Object | Sorbs |
E74673
|
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: Sorbs | Statement: [Spreewald, hasEthnicGroup, Sorbs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sorbs Context triple: [Spreewald, hasEthnicGroup, Sorbs]
-
A.
Sorbs
chosen
The Sorbs are a Slavic ethnic minority primarily living in eastern Germany, known for preserving their distinct Sorbian language and cultural traditions.
-
B.
Senftenberg
Senftenberg is a town in eastern Germany known for its lakeside recreation area and former lignite mining sites, located in the federal state of Brandenburg.
-
C.
Neuhof
Neuhof is a district (Ortsteil) of the town of Taunusstein in the Rheingau-Taunus-Kreis region of Hesse, Germany.
-
D.
Grömitz
Grömitz is a Baltic Sea resort town in northern Germany known for its long sandy beaches and seaside tourism.
-
E.
Langenburg
Langenburg is a small historic town in the German state of Baden-Württemberg, known for its hilltop castle and association with various noble families.
- 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_69ca84d831b8819090322686b47887ce |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda0f1dea08190b89bcc192b068c66 |
completed | April 1, 2026, 10:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1bd0cae548190a2d9b42ea4ecc372 |
completed | April 5, 2026, 1:38 a.m. |
Created at: March 30, 2026, 8:26 p.m.