Triple
T12638805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northeim district |
E301836
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Nörten-Hardenberg
Nörten-Hardenberg is a municipality in Lower Saxony, Germany, known for its historic Hardenberg Castle and traditional grain distillery.
|
E994721
|
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: Nörten-Hardenberg | Statement: [Northeim district, containsMunicipality, Nörten-Hardenberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nörten-Hardenberg Context triple: [Northeim district, containsMunicipality, Nörten-Hardenberg]
-
A.
Rheydt
Rheydt is a district of the German city of Mönchengladbach in North Rhine-Westphalia, historically an independent town in the Rhineland.
-
B.
Radevormwald
Radevormwald is a small historic town in North Rhine-Westphalia, western Germany, known for its hilly Bergisches Land landscape and traditional textile and metalworking industries.
-
C.
Hademstorf
Hademstorf is a small municipality in Lower Saxony, Germany, situated in the Heidekreis district.
-
D.
Nennhausen
Nennhausen is a rural municipality in the Havelland district of Brandenburg, Germany, known for its historic manor house and surrounding natural landscapes.
-
E.
Nordendorf
Nordendorf is a small municipality in Bavaria, Germany, situated within the Augsburg district.
- 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: Nörten-Hardenberg Triple: [Northeim district, containsMunicipality, Nörten-Hardenberg]
Generated description
Nörten-Hardenberg is a municipality in Lower Saxony, Germany, known for its historic Hardenberg Castle and traditional grain distillery.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nörten-Hardenberg Target entity description: Nörten-Hardenberg is a municipality in Lower Saxony, Germany, known for its historic Hardenberg Castle and traditional grain distillery.
-
A.
Rheydt
Rheydt is a district of the German city of Mönchengladbach in North Rhine-Westphalia, historically an independent town in the Rhineland.
-
B.
Radevormwald
Radevormwald is a small historic town in North Rhine-Westphalia, western Germany, known for its hilly Bergisches Land landscape and traditional textile and metalworking industries.
-
C.
Hademstorf
Hademstorf is a small municipality in Lower Saxony, Germany, situated in the Heidekreis district.
-
D.
Nennhausen
Nennhausen is a rural municipality in the Havelland district of Brandenburg, Germany, known for its historic manor house and surrounding natural landscapes.
-
E.
Nordendorf
Nordendorf is a small municipality in Bavaria, Germany, situated within the Augsburg district.
- 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_69d7bdec9f9c8190b4bac675b7588211 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961499de08190bdba66ca40b021be |
completed | April 10, 2026, 8:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f668754acc8190b5585dbd35387867 |
completed | May 2, 2026, 9:11 p.m. |
| NEDg | Description generation | batch_69f6697d8ac88190b4ead9ce47f3a705 |
completed | May 2, 2026, 9:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f66a2da60881909b0a689821456bb4 |
completed | May 2, 2026, 9:18 p.m. |
Created at: April 9, 2026, 5:16 p.m.