Triple
T8797394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Usingen |
E209322
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Wernborn
Wernborn is a village and district of the town of Usingen in the Hochtaunus region of Hesse, Germany.
|
E771487
|
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: Wernborn | Statement: [Usingen, hasSubdivision, Wernborn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wernborn Context triple: [Usingen, hasSubdivision, Wernborn]
-
A.
Büttelborn
Büttelborn is a municipality in the Groß-Gerau district of Hesse, Germany, situated in the Rhine-Main region near the city of Darmstadt.
-
B.
Hademstorf
Hademstorf is a small municipality in Lower Saxony, Germany, situated in the Heidekreis district.
-
C.
Burgstädt
Burgstädt is a small town in the German state of Saxony, known for its traditional architecture and location near the city of Chemnitz.
-
D.
Werneuchen
Werneuchen is a small town in the German state of Brandenburg, located northeast of Berlin and characterized by its rural surroundings and commuter links to the capital.
-
E.
Bergheim
Bergheim is a town in western Germany situated along the Erft River, known for its historical center and proximity to the Cologne region.
- 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: Wernborn Triple: [Usingen, hasSubdivision, Wernborn]
Generated description
Wernborn is a village and district of the town of Usingen in the Hochtaunus region of Hesse, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wernborn Target entity description: Wernborn is a village and district of the town of Usingen in the Hochtaunus region of Hesse, Germany.
-
A.
Büttelborn
Büttelborn is a municipality in the Groß-Gerau district of Hesse, Germany, situated in the Rhine-Main region near the city of Darmstadt.
-
B.
Hademstorf
Hademstorf is a small municipality in Lower Saxony, Germany, situated in the Heidekreis district.
-
C.
Burgstädt
Burgstädt is a small town in the German state of Saxony, known for its traditional architecture and location near the city of Chemnitz.
-
D.
Werneuchen
Werneuchen is a small town in the German state of Brandenburg, located northeast of Berlin and characterized by its rural surroundings and commuter links to the capital.
-
E.
Bergheim
Bergheim is a town in western Germany situated along the Erft River, known for its historical center and proximity to the Cologne region.
- 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_69ca836240888190a62b262e56a69d2f |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5fa370d08190885ef65e3a3e56d3 |
completed | March 31, 2026, 11:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfd0771920819081f191567c7e9fd2 |
completed | April 3, 2026, 2:36 p.m. |
| NEDg | Description generation | batch_69cfd14a28d48190b63561f9a537daeb |
completed | April 3, 2026, 2:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfd1fd6db08190921285c3cfd3ce91 |
completed | April 3, 2026, 2:43 p.m. |
Created at: March 30, 2026, 6:44 p.m.