Triple
T21347941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schiltach |
E526390
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Schramberg |
—
|
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: Schramberg | Statement: [Schiltach, locatedNear, Schramberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schramberg Context triple: [Schiltach, locatedNear, Schramberg]
-
A.
Schramberg
chosen
Schramberg is a town in the Black Forest region of Baden-Württemberg, Germany, known for its historic clockmaking industry and picturesque valley setting.
-
B.
Schretzheim
Schretzheim is a village and district of the town of Dillingen an der Donau in the Bavarian region of Germany.
-
C.
Heroldsberg
Heroldsberg is a municipality in the Erlangen-Höchstadt district of Bavaria, Germany, known for its historic center and proximity to the city of Nuremberg.
-
D.
Nassfeld
Nassfeld is a major ski and alpine resort area in the Austrian Alps, known for its extensive slopes and modern winter sports facilities.
-
E.
Schwanau
Schwanau is a municipality in southwestern Germany’s Baden-Württemberg region, situated near the Rhine River and the French border.
- 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_69e0b51cd5cc81909ac1187971e8a8ad |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8ad2d01b481909d9b4813ff37905c |
completed | April 22, 2026, 11:12 a.m. |
Created at: April 16, 2026, 5 p.m.