Triple
T20098974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zollernalbkreis |
E496480
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Königsheim
Königsheim is a small municipality in the Zollernalbkreis district of the state of Baden-Württemberg in southwestern Germany.
|
E1415453
|
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: Königsheim | Statement: [Zollernalbkreis, contains, Königsheim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Königsheim Context triple: [Zollernalbkreis, contains, Königsheim]
-
A.
Königheim
Königheim is a small municipality in the Main-Tauber district of Baden-Württemberg in southwestern Germany.
-
B.
Griesheim
Griesheim is a town in the German state of Hesse, located near the city of Darmstadt and known for its residential character and local industry.
-
C.
Kippenheim
Kippenheim is a municipality in southwestern Germany’s Baden-Württemberg region, situated within the Ortenau district near the Rhine and the French border.
-
D.
Külsheim
Külsheim is a small town in the Main-Tauber district of Baden-Württemberg in southwestern Germany, known for its historic center and surrounding rural landscape.
-
E.
Gerlachsheim
Gerlachsheim is a district of the town Lauda-Königshofen in the Main-Tauber-Kreis region of Baden-Württemberg, 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: Königsheim Triple: [Zollernalbkreis, contains, Königsheim]
Generated description
Königsheim is a small municipality in the Zollernalbkreis district of the state of Baden-Württemberg in southwestern Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Königsheim Target entity description: Königsheim is a small municipality in the Zollernalbkreis district of the state of Baden-Württemberg in southwestern Germany.
-
A.
Königheim
Königheim is a small municipality in the Main-Tauber district of Baden-Württemberg in southwestern Germany.
-
B.
Griesheim
Griesheim is a town in the German state of Hesse, located near the city of Darmstadt and known for its residential character and local industry.
-
C.
Kippenheim
Kippenheim is a municipality in southwestern Germany’s Baden-Württemberg region, situated within the Ortenau district near the Rhine and the French border.
-
D.
Külsheim
Külsheim is a small town in the Main-Tauber district of Baden-Württemberg in southwestern Germany, known for its historic center and surrounding rural landscape.
-
E.
Gerlachsheim
Gerlachsheim is a district of the town Lauda-Königshofen in the Main-Tauber-Kreis region of Baden-Württemberg, 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_6a08346180dc8190b75740c56016ec12 |
completed | May 16, 2026, 9:09 a.m. |
| NEDg | Description generation | batch_6a0838867cb081908580ab9594653018 |
completed | May 16, 2026, 9:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a083965207c8190babe799e5d45f913 |
completed | May 16, 2026, 9:31 a.m. |
Created at: April 11, 2026, 11:26 p.m.