Triple
T10103156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hadamar |
E216251
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Oberzeuzheim
Oberzeuzheim is a village and district (Ortsteil) of the town of Hadamar in the Limburg-Weilburg region of Hesse, Germany.
|
E840607
|
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: Oberzeuzheim | Statement: [Hadamar, hasSubdivision, Oberzeuzheim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oberzeuzheim Context triple: [Hadamar, hasSubdivision, Oberzeuzheim]
-
A.
Ettenheim
Ettenheim is a historic small town in southwestern Germany’s Baden-Württemberg region, known for its well-preserved old town and location near the Black Forest.
-
B.
Emsbach
Emsbach is a small river in Germany that flows through Hesse before joining the Lahn.
-
C.
Erolzheim
Erolzheim is a small municipality in the district of Biberach in the German state of Baden-Württemberg.
-
D.
Gernsbach
Gernsbach is a historic town in southwestern Germany’s Black Forest region, known for its medieval old town and picturesque setting along the Murg River.
-
E.
Gochsheim
Gochsheim is a municipality in the Schweinfurt district of northern Bavaria, Germany, known for its historic Franconian architecture and proximity to the city of Schweinfurt.
- 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: Oberzeuzheim Triple: [Hadamar, hasSubdivision, Oberzeuzheim]
Generated description
Oberzeuzheim is a village and district (Ortsteil) of the town of Hadamar in the Limburg-Weilburg region of Hesse, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oberzeuzheim Target entity description: Oberzeuzheim is a village and district (Ortsteil) of the town of Hadamar in the Limburg-Weilburg region of Hesse, Germany.
-
A.
Ettenheim
Ettenheim is a historic small town in southwestern Germany’s Baden-Württemberg region, known for its well-preserved old town and location near the Black Forest.
-
B.
Emsbach
Emsbach is a small river in Germany that flows through Hesse before joining the Lahn.
-
C.
Erolzheim
Erolzheim is a small municipality in the district of Biberach in the German state of Baden-Württemberg.
-
D.
Gernsbach
Gernsbach is a historic town in southwestern Germany’s Black Forest region, known for its medieval old town and picturesque setting along the Murg River.
-
E.
Gochsheim
Gochsheim is a municipality in the Schweinfurt district of northern Bavaria, Germany, known for its historic Franconian architecture and proximity to the city of Schweinfurt.
- 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_69ca83d039f08190b9d10363221c69fb |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cdd09af07c819099774af46ebf62d7 |
completed | April 2, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2b6dcca848190851f6f1968fe244c |
completed | April 5, 2026, 7:24 p.m. |
| NEDg | Description generation | batch_69d2b7e64fcc8190805a6a31c8a3786f |
completed | April 5, 2026, 7:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d2b883959481909f330a26863621ae |
completed | April 5, 2026, 7:31 p.m. |
Created at: March 30, 2026, 9:03 p.m.