Triple
T20098963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zollernalbkreis |
E496480
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Ratshausen
Ratshausen is a small municipality in the Zollernalb district of Baden-Württemberg in southwestern Germany.
|
E1419660
|
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: Ratshausen | Statement: [Zollernalbkreis, contains, Ratshausen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ratshausen Context triple: [Zollernalbkreis, contains, Ratshausen]
-
A.
Beratzhausen
Beratzhausen is a market town in the Upper Palatinate region of Bavaria, Germany, known for its historic center and location in the scenic Laber valley.
-
B.
Tussenhausen
Tussenhausen is a municipality in the district of Unterallgäu in Bavaria, Germany, known for its rural character and small villages such as Mattsies.
-
C.
Gaissau
Gaissau is a small municipality in the Austrian state of Vorarlberg, located near the Rhine River and the border with Switzerland.
-
D.
Mallnitz
Mallnitz is an Austrian alpine village and municipality in the state of Carinthia, known as a gateway to the Hohe Tauern National Park and a popular destination for hiking and winter sports.
-
E.
Althüttendorf
Althüttendorf is a small rural municipality in the Barnim district of Brandenburg in northeastern Germany.
- 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: Ratshausen Triple: [Zollernalbkreis, contains, Ratshausen]
Generated description
Ratshausen is a small municipality in the Zollernalb district of Baden-Württemberg in southwestern Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ratshausen Target entity description: Ratshausen is a small municipality in the Zollernalb district of Baden-Württemberg in southwestern Germany.
-
A.
Beratzhausen
Beratzhausen is a market town in the Upper Palatinate region of Bavaria, Germany, known for its historic center and location in the scenic Laber valley.
-
B.
Tussenhausen
Tussenhausen is a municipality in the district of Unterallgäu in Bavaria, Germany, known for its rural character and small villages such as Mattsies.
-
C.
Gaissau
Gaissau is a small municipality in the Austrian state of Vorarlberg, located near the Rhine River and the border with Switzerland.
-
D.
Mallnitz
Mallnitz is an Austrian alpine village and municipality in the state of Carinthia, known as a gateway to the Hohe Tauern National Park and a popular destination for hiking and winter sports.
-
E.
Althüttendorf
Althüttendorf is a small rural municipality in the Barnim district of Brandenburg in northeastern Germany.
- 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_69da626eee3881909f3454986d4a6511 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6666e306c81909c0ef617e0f6fccf |
completed | April 20, 2026, 5:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a084b761ce08190b92227994897ed07 |
completed | May 16, 2026, 10:48 a.m. |
| NEDg | Description generation | batch_6a084c74632c81909480eac174fdcad3 |
completed | May 16, 2026, 10:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a084d2161cc81908e1b5993cea934a0 |
completed | May 16, 2026, 10:55 a.m. |
Created at: April 11, 2026, 11:26 p.m.