Triple
T17654080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schwarzer Weg (Tegelort) |
E429573
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Valentinswerder |
—
|
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: Valentinswerder | Statement: [Schwarzer Weg (Tegelort), near, Valentinswerder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valentinswerder Context triple: [Schwarzer Weg (Tegelort), near, Valentinswerder]
-
A.
Valentinswerder
chosen
Valentinswerder is a small, wooded island located in Lake Tegel in Berlin, Germany, known for its natural setting and limited development.
-
B.
Tettenweis
Tettenweis is a small Bavarian village in Germany known as the birthplace of the Symbolist painter Franz von Stuck.
-
C.
Doberschütz
Doberschütz is a small municipality in the German state of Saxony that forms part of the broader Leipzig metropolitan area.
-
D.
Wiedensahl
Wiedensahl is a small village in Lower Saxony, Germany, best known as the birthplace of the humorist and illustrator Wilhelm Busch.
-
E.
Rödelmaier
Rödelmaier is a small municipality in the Bavarian district of Rhön-Grabfeld in Germany, known for its rural setting near the Rhön mountains.
- 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_69d889e2c2608190b762e76d9b2262f1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46e3ed8b08190a00efdad9740bf6f |
completed | April 19, 2026, 5:55 a.m. |
Created at: April 10, 2026, 6:05 a.m.