Triple
T13196728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Klingenthal |
E314130
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Sachsenberg-Georgenthal
Sachsenberg-Georgenthal is a locality within the town of Klingenthal in the Saxon Vogtland region of Germany, known for its position in the Ore Mountains near the Czech border.
|
E1026306
|
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: Sachsenberg-Georgenthal | Statement: [Klingenthal, hasSubdivision, Sachsenberg-Georgenthal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sachsenberg-Georgenthal Context triple: [Klingenthal, hasSubdivision, Sachsenberg-Georgenthal]
-
A.
Bergrheinfeld
Bergrheinfeld is a municipality in the Schweinfurt district of northern Bavaria, Germany, known for its residential character and proximity to the industrial city of Schweinfurt.
-
B.
Teutschenthal
Teutschenthal is a municipality in the Saalekreis district of Saxony-Anhalt in central Germany.
-
C.
Geiersthal
Geiersthal is a small municipality in the Bavarian Forest region of southeastern Germany.
-
D.
Boltenhagen
Boltenhagen is a Baltic Sea seaside resort town in northern Germany known for its beaches and tourism.
-
E.
Schöngeising
Schöngeising is a small municipality in Upper Bavaria, Germany, known for its rural character and proximity to the city of Munich.
- 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: Sachsenberg-Georgenthal Triple: [Klingenthal, hasSubdivision, Sachsenberg-Georgenthal]
Generated description
Sachsenberg-Georgenthal is a locality within the town of Klingenthal in the Saxon Vogtland region of Germany, known for its position in the Ore Mountains near the Czech border.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sachsenberg-Georgenthal Target entity description: Sachsenberg-Georgenthal is a locality within the town of Klingenthal in the Saxon Vogtland region of Germany, known for its position in the Ore Mountains near the Czech border.
-
A.
Bergrheinfeld
Bergrheinfeld is a municipality in the Schweinfurt district of northern Bavaria, Germany, known for its residential character and proximity to the industrial city of Schweinfurt.
-
B.
Teutschenthal
Teutschenthal is a municipality in the Saalekreis district of Saxony-Anhalt in central Germany.
-
C.
Geiersthal
Geiersthal is a small municipality in the Bavarian Forest region of southeastern Germany.
-
D.
Boltenhagen
Boltenhagen is a Baltic Sea seaside resort town in northern Germany known for its beaches and tourism.
-
E.
Schöngeising
Schöngeising is a small municipality in Upper Bavaria, Germany, known for its rural character and proximity to the city of Munich.
- 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_69d806ae1e08819090d95bfe1538cc17 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c626058819086f604b11af2d4eb |
completed | April 10, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f605a48c81909373fcd9dd896b3d |
completed | May 3, 2026, 7:15 a.m. |
| NEDg | Description generation | batch_69f6f6e10f2481909b405169dd7e5cf9 |
completed | May 3, 2026, 7:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6f73b301881909d792dfebd2e468f |
completed | May 3, 2026, 7:20 a.m. |
Created at: April 9, 2026, 9:16 p.m.