Triple
T18127931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weißenburg-Gunzenhausen district |
E433929
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Polsingen
Polsingen is a small municipality in Bavaria, Germany, known for its rural character and location within the Franconian region.
|
E1308428
|
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: Polsingen | Statement: [Weißenburg-Gunzenhausen district, containsMunicipality, Polsingen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Polsingen Context triple: [Weißenburg-Gunzenhausen district, containsMunicipality, Polsingen]
-
A.
Porschdorf
Porschdorf is a village in Saxony, Germany, that forms part of the spa town and municipality of Bad Schandau in the Saxon Switzerland region.
-
B.
Klemzig
Klemzig is a suburb of Adelaide, South Australia, known as one of the city's earliest German settlements and now a primarily residential area.
-
C.
Perasdorf
Perasdorf is a small municipality in the Straubing-Bogen district of Lower Bavaria, Germany.
-
D.
Pocking
Pocking is a small town in southeastern Bavaria, Germany, known for its proximity to the Austrian border and the spa region around Bad Füssing.
-
E.
Trostberg
Trostberg is a small Bavarian town in southeastern Germany known for its historic old town and chemical 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: Polsingen Triple: [Weißenburg-Gunzenhausen district, containsMunicipality, Polsingen]
Generated description
Polsingen is a small municipality in Bavaria, Germany, known for its rural character and location within the Franconian region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Polsingen Target entity description: Polsingen is a small municipality in Bavaria, Germany, known for its rural character and location within the Franconian region.
-
A.
Porschdorf
Porschdorf is a village in Saxony, Germany, that forms part of the spa town and municipality of Bad Schandau in the Saxon Switzerland region.
-
B.
Klemzig
Klemzig is a suburb of Adelaide, South Australia, known as one of the city's earliest German settlements and now a primarily residential area.
-
C.
Perasdorf
Perasdorf is a small municipality in the Straubing-Bogen district of Lower Bavaria, Germany.
-
D.
Pocking
Pocking is a small town in southeastern Bavaria, Germany, known for its proximity to the Austrian border and the spa region around Bad Füssing.
-
E.
Trostberg
Trostberg is a small Bavarian town in southeastern Germany known for its historic old town and chemical 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_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.