Triple
T20923939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christa Ludwig |
E515286
|
entity |
| Predicate | placeOfDeath |
P21
|
FINISHED |
| Object |
Kloppenheim
Kloppenheim is a district of Wiesbaden in the German state of Hesse.
|
E1473574
|
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: Kloppenheim | Statement: [Christa Ludwig, placeOfDeath, Kloppenheim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kloppenheim Context triple: [Christa Ludwig, placeOfDeath, Kloppenheim]
-
A.
Kottenheim
Kottenheim is a small municipality in western Germany’s Rhineland-Palatinate region, known for its volcanic landscape and traditional stone quarrying.
-
B.
Königheim
Königheim is a small municipality in the Main-Tauber district of Baden-Württemberg in southwestern Germany.
-
C.
Kuppenheim
Kuppenheim is a small town in the Rastatt district of Baden-Württemberg, southwestern Germany, situated near the Black Forest.
-
D.
Brackenheim
Brackenheim is a small town in the German state of Baden-Württemberg, best known as the birthplace of Theodor Heuss, the first President of the Federal Republic of Germany.
-
E.
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.
- 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: Kloppenheim Triple: [Christa Ludwig, placeOfDeath, Kloppenheim]
Generated description
Kloppenheim is a district of Wiesbaden in the German state of Hesse.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kloppenheim Target entity description: Kloppenheim is a district of Wiesbaden in the German state of Hesse.
-
A.
Kottenheim
Kottenheim is a small municipality in western Germany’s Rhineland-Palatinate region, known for its volcanic landscape and traditional stone quarrying.
-
B.
Königheim
Königheim is a small municipality in the Main-Tauber district of Baden-Württemberg in southwestern Germany.
-
C.
Kuppenheim
Kuppenheim is a small town in the Rastatt district of Baden-Württemberg, southwestern Germany, situated near the Black Forest.
-
D.
Brackenheim
Brackenheim is a small town in the German state of Baden-Württemberg, best known as the birthplace of Theodor Heuss, the first President of the Federal Republic of Germany.
-
E.
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.
- 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_69e0b4fb431c8190b9d40e6a72f0cc87 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f6504c30819084e8cabab98d08f7 |
completed | April 21, 2026, 4 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0986d1a7548190a73635d4541ee377 |
completed | May 17, 2026, 9:13 a.m. |
| NEDg | Description generation | batch_6a09876a38788190b2cef66b9d0c2f73 |
completed | May 17, 2026, 9:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09881c2d4c8190ab2cdf5dc99a43b0 |
completed | May 17, 2026, 9:19 a.m. |
Created at: April 16, 2026, 12:49 p.m.