Triple
T13110613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hof (Saale) |
E310959
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Hof-Moschendorf
Hof-Moschendorf is a district of the Bavarian city of Hof in Germany, known primarily as a residential area within the urban region.
|
E1119373
|
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: Hof-Moschendorf | Statement: [Hof (Saale), hasSubdivision, Hof-Moschendorf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hof-Moschendorf Context triple: [Hof (Saale), hasSubdivision, Hof-Moschendorf]
-
A.
Sierksdorf
Sierksdorf is a small coastal municipality in northern Germany, known for its Baltic Sea beaches and the Hansa-Park amusement park.
-
B.
Schmargendorf
Schmargendorf is a residential locality in southwestern Berlin known for its quiet streets, historic buildings, and proximity to the Grunewald forest.
-
C.
Neuendorf
Neuendorf is a small village on the Baltic Sea island of Hiddensee in Germany, known for its traditional thatched houses and maritime character.
-
D.
Hennigsdorf
Hennigsdorf is a town in the German state of Brandenburg, located just northwest of Berlin and known for its industrial heritage and proximity to the Havel River.
-
E.
Hademstorf
Hademstorf is a small municipality in Lower Saxony, Germany, situated in the Heidekreis 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: Hof-Moschendorf Triple: [Hof (Saale), hasSubdivision, Hof-Moschendorf]
Generated description
Hof-Moschendorf is a district of the Bavarian city of Hof in Germany, known primarily as a residential area within the urban region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hof-Moschendorf Target entity description: Hof-Moschendorf is a district of the Bavarian city of Hof in Germany, known primarily as a residential area within the urban region.
-
A.
Sierksdorf
Sierksdorf is a small coastal municipality in northern Germany, known for its Baltic Sea beaches and the Hansa-Park amusement park.
-
B.
Schmargendorf
Schmargendorf is a residential locality in southwestern Berlin known for its quiet streets, historic buildings, and proximity to the Grunewald forest.
-
C.
Neuendorf
Neuendorf is a small village on the Baltic Sea island of Hiddensee in Germany, known for its traditional thatched houses and maritime character.
-
D.
Hennigsdorf
Hennigsdorf is a town in the German state of Brandenburg, located just northwest of Berlin and known for its industrial heritage and proximity to the Havel River.
-
E.
Hademstorf
Hademstorf is a small municipality in Lower Saxony, Germany, situated in the Heidekreis 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9817e4f408190b77c198b4157d77a |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0ccb9c3481908820f7620102e373 |
completed | May 8, 2026, 4:18 p.m. |
| NEDg | Description generation | batch_69fe1903c0f88190b6f1a081047506d5 |
completed | May 8, 2026, 5:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe1980179481908b9f97e2f474e00d |
completed | May 8, 2026, 5:12 p.m. |
Created at: April 9, 2026, 9:05 p.m.