Triple
T20366507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schwarzwald-Baar-Kreis |
E496922
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Dauchingen
Dauchingen is a small municipality in the Schwarzwald-Baar district of Baden-Württemberg in southwestern Germany.
|
E1426394
|
NE FINISHED |
How this triple was built (4 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: Dauchingen | Statement: [Schwarzwald-Baar-Kreis, hasMunicipality, Dauchingen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dauchingen Context triple: [Schwarzwald-Baar-Kreis, hasMunicipality, Dauchingen]
-
A.
Remchingen
Remchingen is a municipality in the Enzkreis district of Baden-Württemberg, Germany, situated along the Pfinz river between Karlsruhe and Pforzheim.
-
B.
Wechingen
Wechingen is a small rural municipality in the Bavarian region of southern Germany.
-
C.
Effingen
Effingen is a small Swiss village and former municipality in the canton of Aargau, known for its rural character and location near the Jura Mountains.
-
D.
Gibswil
Gibswil is a small village in the canton of Zurich, Switzerland, known as a gateway to the nearby Schnebelhorn mountain and its hiking and outdoor recreation areas.
-
E.
Spaichingen
Spaichingen is a small town in the district of Tuttlingen in Baden-Württemberg, Germany, situated on the Prim River at the foot of the Swabian Jura.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Dauchingen Triple: [Schwarzwald-Baar-Kreis, hasMunicipality, Dauchingen]
Generated description
Dauchingen is a small municipality in the Schwarzwald-Baar district of Baden-Württemberg in southwestern Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dauchingen Target entity description: Dauchingen is a small municipality in the Schwarzwald-Baar district of Baden-Württemberg in southwestern Germany.
-
A.
Remchingen
Remchingen is a municipality in the Enzkreis district of Baden-Württemberg, Germany, situated along the Pfinz river between Karlsruhe and Pforzheim.
-
B.
Wechingen
Wechingen is a small rural municipality in the Bavarian region of southern Germany.
-
C.
Effingen
Effingen is a small Swiss village and former municipality in the canton of Aargau, known for its rural character and location near the Jura Mountains.
-
D.
Gibswil
Gibswil is a small village in the canton of Zurich, Switzerland, known as a gateway to the nearby Schnebelhorn mountain and its hiking and outdoor recreation areas.
-
E.
Spaichingen
Spaichingen is a small town in the district of Tuttlingen in Baden-Württemberg, Germany, situated on the Prim River at the foot of the Swabian Jura.
- F. None of above. chosen
Provenance (5 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_69e0b4a4f9b081908a5a021919c21ccb |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67871bfdc8190948c46497cd675c9 |
completed | April 20, 2026, 7:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a087089e0408190be8394376cdec110 |
completed | May 16, 2026, 1:26 p.m. |
| NEDg | Description generation | batch_6a087129ce3c8190a67ac34ec697ad31 |
completed | May 16, 2026, 1:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0871e3573c81908216b5e508374081 |
completed | May 16, 2026, 1:32 p.m. |
Created at: April 16, 2026, 11:26 a.m.