Triple
T9439518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lahn-Dill-Kreis |
E227605
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Hüttenberg
Hüttenberg is a municipality in the central German state of Hesse, known for its rural character and proximity to the city of Wetzlar.
|
E804744
|
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: Hüttenberg | Statement: [Lahn-Dill-Kreis, hasMunicipality, Hüttenberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hüttenberg Context triple: [Lahn-Dill-Kreis, hasMunicipality, Hüttenberg]
-
A.
Röthlein
Röthlein is a small municipality in the Schweinfurt district of Bavaria, Germany.
-
B.
Forchtenberg
Forchtenberg is a small town in the German state of Baden-Württemberg, best known as the birthplace of anti-Nazi resistance figure Sophie Scholl.
-
C.
Hornsberg
Hornsberg is a waterfront residential and commercial district on the island of Kungsholmen in central Stockholm, Sweden.
-
D.
Bardenbach
Bardenbach is a village and district of the town of Wadern in the Saarland region of western Germany.
-
E.
Haslach
Haslach is a district or locality that forms part of the town of Oberkirch in the German state of Baden-Württemberg.
- 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: Hüttenberg Triple: [Lahn-Dill-Kreis, hasMunicipality, Hüttenberg]
Generated description
Hüttenberg is a municipality in the central German state of Hesse, known for its rural character and proximity to the city of Wetzlar.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hüttenberg Target entity description: Hüttenberg is a municipality in the central German state of Hesse, known for its rural character and proximity to the city of Wetzlar.
-
A.
Röthlein
Röthlein is a small municipality in the Schweinfurt district of Bavaria, Germany.
-
B.
Forchtenberg
Forchtenberg is a small town in the German state of Baden-Württemberg, best known as the birthplace of anti-Nazi resistance figure Sophie Scholl.
-
C.
Hornsberg
Hornsberg is a waterfront residential and commercial district on the island of Kungsholmen in central Stockholm, Sweden.
-
D.
Bardenbach
Bardenbach is a village and district of the town of Wadern in the Saarland region of western Germany.
-
E.
Haslach
Haslach is a district or locality that forms part of the town of Oberkirch in the German state of Baden-Württemberg.
- 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_69ca843884488190ad6cbe0153088234 |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7ee1c8c48190a2ae8673eee07e9a |
completed | April 1, 2026, 8:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d14be965e881909acda0a2df1b24b3 |
completed | April 4, 2026, 5:35 p.m. |
| NEDg | Description generation | batch_69d14ca535588190aa2ff77f0658226b |
completed | April 4, 2026, 5:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d14d29d32c8190a8615b3450492abc |
completed | April 4, 2026, 5:40 p.m. |
Created at: March 30, 2026, 7:50 p.m.