Triple
T18846898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amt Hohe Elbgeest |
E460939
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Hohenhorn
Hohenhorn is a small municipality in northern Germany, located in the state of Schleswig-Holstein.
|
E1346523
|
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: Hohenhorn | Statement: [Amt Hohe Elbgeest, hasMunicipality, Hohenhorn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hohenhorn Context triple: [Amt Hohe Elbgeest, hasMunicipality, Hohenhorn]
-
A.
Hohenborn
Hohenborn is a small locality that forms part of the town of Zierenberg in the German state of Hesse.
-
B.
Hornberg
Hornberg is a small town in the Black Forest region of Baden-Württemberg, Germany, known for its scenic landscape and traditional cuckoo clock craftsmanship.
-
C.
Hohberg
Hohberg is a municipality in the Ortenau district of Baden-Württemberg in southwestern Germany.
-
D.
Hohenroth
Hohenroth is a municipality in the Rhön-Grabfeld district of northern Bavaria, Germany, known for its rural setting near the Rhön Mountains.
-
E.
Hornsberg
Hornsberg is a waterfront residential and commercial district on the island of Kungsholmen in central Stockholm, Sweden.
- 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: Hohenhorn Triple: [Amt Hohe Elbgeest, hasMunicipality, Hohenhorn]
Generated description
Hohenhorn is a small municipality in northern Germany, located in the state of Schleswig-Holstein.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hohenhorn Target entity description: Hohenhorn is a small municipality in northern Germany, located in the state of Schleswig-Holstein.
-
A.
Hohenborn
Hohenborn is a small locality that forms part of the town of Zierenberg in the German state of Hesse.
-
B.
Hornberg
Hornberg is a small town in the Black Forest region of Baden-Württemberg, Germany, known for its scenic landscape and traditional cuckoo clock craftsmanship.
-
C.
Hohberg
Hohberg is a municipality in the Ortenau district of Baden-Württemberg in southwestern Germany.
-
D.
Hohenroth
Hohenroth is a municipality in the Rhön-Grabfeld district of northern Bavaria, Germany, known for its rural setting near the Rhön Mountains.
-
E.
Hornsberg
Hornsberg is a waterfront residential and commercial district on the island of Kungsholmen in central Stockholm, Sweden.
- 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_6a0575afc5b48190a95fbfbe0f2fb097 |
completed | May 14, 2026, 7:11 a.m. |
| NEDg | Description generation | batch_6a05773b64c08190976d4e635e87be23 |
completed | May 14, 2026, 7:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0577901df48190aa16a0c31704de34 |
completed | May 14, 2026, 7:19 a.m. |
Created at: April 10, 2026, 11:56 a.m.