Triple
T17481843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wildberg |
E425678
|
entity |
| Predicate | river |
P165
|
FINISHED |
| Object | Nagold |
—
|
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: Nagold | Statement: [Wildberg, river, Nagold]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nagold Context triple: [Wildberg, river, Nagold]
-
A.
Nagold
chosen
Nagold is a river in southwestern Germany that flows through the Black Forest region before joining the Enz River.
-
B.
Kraichtal
Kraichtal is a town in the Karlsruhe district of Baden-Württemberg, Germany, formed from several formerly independent villages in the hilly Kraichgau region.
-
C.
Könnern
Könnern is a small town in the German state of Saxony-Anhalt, known for its rural character and location near the Saale River.
-
D.
Goldswil
Goldswil is a small village in the municipality of Ringgenberg in the canton of Bern, Switzerland, known for its scenic setting near Lake Brienz and views of the surrounding Alps.
-
E.
Winnental
Winnental is a historical town that served as the capital of the former German territory of Württemberg-Winnental.
- 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_69d889dccf7481909264a1844a2e9100 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451c0db14819098922453131fb40a |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 5:48 a.m.