Triple
T17917060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Döbeln |
E447957
|
entity |
| Predicate | locatedOnRiver |
P165
|
FINISHED |
| Object | Freiberger Mulde |
—
|
NE NERFINISHED |
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: Freiberger Mulde | Statement: [Döbeln, locatedOnRiver, Freiberger Mulde]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Freiberger Mulde Context triple: [Döbeln, locatedOnRiver, Freiberger Mulde]
-
A.
Freiberger Mulde
chosen
The Freiberger Mulde is a river in Saxony, Germany, that originates in the Ore Mountains and flows northward to help form the Mulde River.
-
B.
Mulde
The Mulde is a river in central Germany that flows through the state of Saxony and is formed by the confluence of the Zwickauer Mulde and Freiberger Mulde.
-
C.
Hohenelbe
Hohenelbe is the German name for the Czech town of Vrchlabí, a gateway to the Krkonoše (Giant) Mountains region.
-
D.
Lauter River
The Lauter River is a small river in northeastern France and southwestern Germany that flows through the town of Wissembourg before joining the Rhine.
-
E.
Schwabach
Schwabach is a historic town in northern Bavaria, Germany, known for its traditional gold-beating craft and well-preserved old town.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a30778fc81908b5b2e308fb158a5 |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, 10:20 a.m.