Triple
T18846895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amt Hohe Elbgeest |
E460939
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Dassendorf
Dassendorf is a small municipality in northern Germany’s Schleswig-Holstein region, situated near the Elbe River and administratively part of the Amt Hohe Elbgeest.
|
E1345335
|
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: Dassendorf | Statement: [Amt Hohe Elbgeest, hasMunicipality, Dassendorf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dassendorf Context triple: [Amt Hohe Elbgeest, hasMunicipality, Dassendorf]
-
A.
Burkhardtsdorf
Burkhardtsdorf is a small municipality in the Erzgebirge (Ore Mountains) region of Saxony, eastern Germany.
-
B.
Baldramsdorf
Baldramsdorf is a municipality in the Austrian state of Carinthia, known for its Alpine setting near the town of Spittal an der Drau.
-
C.
Stederdorf
Stederdorf is a district of the town of Peine in Lower Saxony, Germany, known for its residential character and proximity to the regional industrial and agricultural areas.
-
D.
Dierdorf
Dierdorf is a surname most prominently associated with former American football player and sportscaster Dan Dierdorf.
-
E.
Heinersdorf
Heinersdorf is a residential locality in the borough of Pankow in Berlin, Germany, known for its suburban character and proximity to the city center.
- 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: Dassendorf Triple: [Amt Hohe Elbgeest, hasMunicipality, Dassendorf]
Generated description
Dassendorf is a small municipality in northern Germany’s Schleswig-Holstein region, situated near the Elbe River and administratively part of the Amt Hohe Elbgeest.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dassendorf Target entity description: Dassendorf is a small municipality in northern Germany’s Schleswig-Holstein region, situated near the Elbe River and administratively part of the Amt Hohe Elbgeest.
-
A.
Burkhardtsdorf
Burkhardtsdorf is a small municipality in the Erzgebirge (Ore Mountains) region of Saxony, eastern Germany.
-
B.
Baldramsdorf
Baldramsdorf is a municipality in the Austrian state of Carinthia, known for its Alpine setting near the town of Spittal an der Drau.
-
C.
Stederdorf
Stederdorf is a district of the town of Peine in Lower Saxony, Germany, known for its residential character and proximity to the regional industrial and agricultural areas.
-
D.
Dierdorf
Dierdorf is a surname most prominently associated with former American football player and sportscaster Dan Dierdorf.
-
E.
Heinersdorf
Heinersdorf is a residential locality in the borough of Pankow in Berlin, Germany, known for its suburban character and proximity to the city center.
- 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_69d8dcfa11e4819090ab1ef5bdcd2b2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5b8efafdc81909608b8a47deeaa8e |
completed | April 20, 2026, 5:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0567743f788190b85a9fa1e7345a27 |
completed | May 14, 2026, 6:11 a.m. |
| NEDg | Description generation | batch_6a0568fc78748190b487d4c0b444a8ea |
completed | May 14, 2026, 6:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a056966665c81909d9e82f1fbd1d518 |
completed | May 14, 2026, 6:19 a.m. |
Created at: April 10, 2026, 11:56 a.m.