Triple
T13691393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unterallgäu |
E328272
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Memmingerberg
Memmingerberg is a small municipality in the Unterallgäu district of Bavaria in southern Germany.
|
E1055626
|
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: Memmingerberg | Statement: [Unterallgäu, containsMunicipality, Memmingerberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Memmingerberg Context triple: [Unterallgäu, containsMunicipality, Memmingerberg]
-
A.
Hangelsberg
Hangelsberg is a village in the German state of Brandenburg, known as a district of the municipality Grünheide (Mark) in the Oder-Spree region.
-
B.
Sendenhorst
Sendenhorst is a small town in the German state of North Rhine-Westphalia, known for its rural character and location in the Münsterland region.
-
C.
Güntersberge
Güntersberge is a small town in the Harz region of Saxony-Anhalt, Germany, known for its scenic surroundings and role as a local tourist destination.
-
D.
Hermannsberg
Hermannsberg is a location in Germany known, among other things, as the place where the influential German educator Kurt Hahn died.
-
E.
Aegidienberg
Aegidienberg is a district of the town of Bad Honnef in North Rhine-Westphalia, Germany, known for its scenic location in the Siebengebirge region.
- 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: Memmingerberg Triple: [Unterallgäu, containsMunicipality, Memmingerberg]
Generated description
Memmingerberg is a small municipality in the Unterallgäu district of Bavaria in southern Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Memmingerberg Target entity description: Memmingerberg is a small municipality in the Unterallgäu district of Bavaria in southern Germany.
-
A.
Hangelsberg
Hangelsberg is a village in the German state of Brandenburg, known as a district of the municipality Grünheide (Mark) in the Oder-Spree region.
-
B.
Sendenhorst
Sendenhorst is a small town in the German state of North Rhine-Westphalia, known for its rural character and location in the Münsterland region.
-
C.
Güntersberge
Güntersberge is a small town in the Harz region of Saxony-Anhalt, Germany, known for its scenic surroundings and role as a local tourist destination.
-
D.
Hermannsberg
Hermannsberg is a location in Germany known, among other things, as the place where the influential German educator Kurt Hahn died.
-
E.
Aegidienberg
Aegidienberg is a district of the town of Bad Honnef in North Rhine-Westphalia, Germany, known for its scenic location in the Siebengebirge region.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc8746458819095ec1ba3c01ef31b |
completed | April 12, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7944b93d88190806d6b5735f7e794 |
completed | May 3, 2026, 6:30 p.m. |
| NEDg | Description generation | batch_69f795b1c4948190b3c17acb26cd5b6e |
completed | May 3, 2026, 6:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7965cc9f88190acbf232615a9e87b |
completed | May 3, 2026, 6:39 p.m. |
Created at: April 9, 2026, 9:53 p.m.