Triple
T16694558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enz Valley |
E405680
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object | Neuenbürg |
—
|
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: Neuenbürg | Statement: [Enz Valley, hasTown, Neuenbürg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neuenbürg Context triple: [Enz Valley, hasTown, Neuenbürg]
-
A.
Neuenbürg
chosen
Neuenbürg is a small historic town in the northern Black Forest region of Baden-Württemberg, Germany, known for its medieval castle and scenic river valley setting.
-
B.
Günsberg
Günsberg is a Swiss municipality located in the canton of Solothurn, known for its scenic setting near the Jura Mountains.
-
C.
Nabburg
Nabburg is a small historic town in Bavaria, Germany, known for its well-preserved medieval old town and scenic location along the Naab River.
-
D.
Bötzingen
Bötzingen is a municipality in southwestern Germany’s Baden-Württemberg region, situated near Freiburg in the Breisgau wine-growing area.
-
E.
Gernsbach
Gernsbach is a historic town in southwestern Germany’s Black Forest region, known for its medieval old town and picturesque setting along the Murg River.
- 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_69d8838db21081909589220fd71440a4 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37eacfa788190a8d2058f96c0d445 |
completed | April 18, 2026, 12:53 p.m. |
Created at: April 10, 2026, 5:19 a.m.