Triple
T19492499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baar region |
E487685
|
entity |
| Predicate | administrativeRegion |
P285
|
FINISHED |
| Object | Tuttlingen district (partly) |
—
|
NE NERFINISHED |
How this triple was built (3 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: Tuttlingen district (partly) | Statement: [Baar region, administrativeRegion, Tuttlingen district (partly)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tuttlingen district (partly) Context triple: [Baar region, administrativeRegion, Tuttlingen district (partly)]
-
A.
Reutlingen district
Reutlingen district is an administrative district (Landkreis) in the state of Baden-Württemberg in southwestern Germany, known for its mix of industrial towns and scenic Swabian Alb landscapes.
-
B.
Biberach district
Biberach district is a rural administrative district in the state of Baden-Württemberg in southern Germany, known for its historic towns and location in the Upper Swabia region.
-
C.
Rastatt district
Rastatt district is an administrative district (Landkreis) in the state of Baden-Württemberg in southwestern Germany, located near the Black Forest and the Upper Rhine.
-
D.
Waldshut district
Waldshut district is an administrative district (Landkreis) in the state of Baden-Württemberg in southwestern Germany, located along the Upper Rhine on the Swiss border.
-
E.
Miesbach district
Miesbach district is a rural administrative district in Upper Bavaria, Germany, known for its Alpine landscapes, lakes, and popular tourist destinations.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tuttlingen district (partly) Target entity description: Tuttlingen district is a rural administrative district in the state of Baden-Württemberg in southwestern Germany, known for its strong medical technology industry and location along the upper Danube River.
-
A.
Reutlingen district
Reutlingen district is an administrative district (Landkreis) in the state of Baden-Württemberg in southwestern Germany, known for its mix of industrial towns and scenic Swabian Alb landscapes.
-
B.
Biberach district
Biberach district is a rural administrative district in the state of Baden-Württemberg in southern Germany, known for its historic towns and location in the Upper Swabia region.
-
C.
Rastatt district
Rastatt district is an administrative district (Landkreis) in the state of Baden-Württemberg in southwestern Germany, located near the Black Forest and the Upper Rhine.
-
D.
Waldshut district
Waldshut district is an administrative district (Landkreis) in the state of Baden-Württemberg in southwestern Germany, located along the Upper Rhine on the Swiss border.
-
E.
Miesbach district
Miesbach district is a rural administrative district in Upper Bavaria, Germany, known for its Alpine landscapes, lakes, and popular tourist destinations.
- F. None of above. chosen
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_69d8e8d9d1c88190b01cd78b8be49384 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6348f4d708190a6e612863fee4b97 |
completed | April 20, 2026, 2:13 p.m. |
Created at: April 10, 2026, 1:39 p.m.