Triple
T18127919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weißenburg-Gunzenhausen district |
E433929
|
entity |
| Predicate | containsMarketTown |
P130562
|
FINISHED |
| Object |
Pappenheim
Pappenheim is a historic market town in Bavaria, Germany, known for its medieval architecture and its location along the Altmühl River.
|
E1308421
|
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: Pappenheim | Statement: [Weißenburg-Gunzenhausen district, containsMarketTown, Pappenheim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pappenheim Context triple: [Weißenburg-Gunzenhausen district, containsMarketTown, Pappenheim]
-
A.
Biesenthal
Biesenthal is a small town in the Barnim district of Brandenburg, Germany, known for its surrounding lakes, forests, and location within the Barnim Nature Park.
-
B.
Kottenheim
Kottenheim is a small municipality in western Germany’s Rhineland-Palatinate region, known for its volcanic landscape and traditional stone quarrying.
-
C.
Neudrossenfeld
Neudrossenfeld is a municipality in the Kulmbach district of northern Bavaria, Germany, known for its rural character and Franconian cultural heritage.
-
D.
Meisenthal
Meisenthal is a village in northeastern France renowned for its historic glassmaking tradition and cultural heritage.
-
E.
Perasdorf
Perasdorf is a small municipality in the Straubing-Bogen district of Lower Bavaria, 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: Pappenheim Triple: [Weißenburg-Gunzenhausen district, containsMarketTown, Pappenheim]
Generated description
Pappenheim is a historic market town in Bavaria, Germany, known for its medieval architecture and its location along the Altmühl River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pappenheim Target entity description: Pappenheim is a historic market town in Bavaria, Germany, known for its medieval architecture and its location along the Altmühl River.
-
A.
Biesenthal
Biesenthal is a small town in the Barnim district of Brandenburg, Germany, known for its surrounding lakes, forests, and location within the Barnim Nature Park.
-
B.
Kottenheim
Kottenheim is a small municipality in western Germany’s Rhineland-Palatinate region, known for its volcanic landscape and traditional stone quarrying.
-
C.
Neudrossenfeld
Neudrossenfeld is a municipality in the Kulmbach district of northern Bavaria, Germany, known for its rural character and Franconian cultural heritage.
-
D.
Meisenthal
Meisenthal is a village in northeastern France renowned for its historic glassmaking tradition and cultural heritage.
-
E.
Perasdorf
Perasdorf is a small municipality in the Straubing-Bogen district of Lower Bavaria, 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_69d8b909e8cc81908df4cc2b8ea6d11f |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddef4cd88190b16ef0d6ed3968c6 |
completed | April 19, 2026, 1:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a038543ec98819080e1bb3981634ecb |
completed | May 12, 2026, 7:53 p.m. |
| NEDg | Description generation | batch_6a0389649bac8190bb5f189e562ab8c3 |
completed | May 12, 2026, 8:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0389eb3928819080b6d257698e662c |
completed | May 12, 2026, 8:13 p.m. |
Created at: April 10, 2026, 10:29 a.m.