Triple
T19564686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kinzigtal |
E489547
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object | Schiltach |
—
|
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: Schiltach | Statement: [Kinzigtal, hasTown, Schiltach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schiltach Context triple: [Kinzigtal, hasTown, Schiltach]
-
A.
Schiltach
chosen
Schiltach is a small historic town in Germany’s Black Forest region, known for its well-preserved half-timbered houses and picturesque riverside setting.
-
B.
Steinlach
Steinlach is a small river in the German state of Baden-Württemberg that flows through the city of Tübingen before joining the Neckar.
-
C.
Kirchlindach
Kirchlindach is a Swiss municipality in the canton of Bern, known for its rural character and proximity to the city of Bern.
-
D.
Herrischried
Herrischried is a small municipality in the southern Black Forest region of Baden-Württemberg, Germany, known for its scenic landscapes and outdoor recreation opportunities.
-
E.
Seßlach
Seßlach is a small, well-preserved medieval town in northern Bavaria, Germany, known for its intact city walls and historic half-timbered houses.
- 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63f76b220819096e668534c6bac67 |
completed | April 20, 2026, 3 p.m. |
Created at: April 10, 2026, 1:42 p.m.