Triple
T20972745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little Wiese |
E516543
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Wiese |
—
|
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: Wiese | Statement: [Little Wiese, partOf, Wiese]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wiese Context triple: [Little Wiese, partOf, Wiese]
-
A.
Wiese
chosen
The Wiese is a river in southwestern Germany that flows through the Black Forest region before joining the Rhine.
-
B.
Wieseck
Wieseck is a small river in the German state of Hesse that flows through the city of Giessen and its surrounding region.
-
C.
Wiesenbach
Wiesenbach is a small municipality in the Rhine-Neckar district of Baden-Württemberg in southwestern Germany.
-
D.
Wiese River
The Wiese River is a tributary of the Rhine flowing through parts of Germany and Switzerland, including the municipality of Riehen near Basel.
-
E.
Wiese valley
Wiese valley is a scenic valley in Germany’s Black Forest region, known for the Wiese River and its traditional villages and forested landscapes.
- 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_69e0b4fee5ac8190875fa9ceba1a5e5e |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fba161d88190b8905891f449004e |
completed | April 21, 2026, 4:22 a.m. |
Created at: April 16, 2026, 1:45 p.m.