Triple
T10103157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hadamar |
E216251
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Niederzeuzheim
Niederzeuzheim is a village and district of the town of Hadamar in the Limburg-Weilburg region of Hesse, Germany.
|
E841926
|
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: Niederzeuzheim | Statement: [Hadamar, hasSubdivision, Niederzeuzheim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Niederzeuzheim Context triple: [Hadamar, hasSubdivision, Niederzeuzheim]
-
A.
Oberzeuzheim
Oberzeuzheim is a village and district (Ortsteil) of the town of Hadamar in the Limburg-Weilburg region of Hesse, Germany.
-
B.
Erolzheim
Erolzheim is a small municipality in the district of Biberach in the German state of Baden-Württemberg.
-
C.
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.
-
D.
Mergentheim
Mergentheim is a historic town in southern Germany best known as the former main seat of the Teutonic Order and for its well-preserved medieval and baroque architecture.
-
E.
Geinsheim
Geinsheim is a village and local district of the town Neustadt an der Weinstraße in the German state of Rhineland-Palatinate.
- 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: Niederzeuzheim Triple: [Hadamar, hasSubdivision, Niederzeuzheim]
Generated description
Niederzeuzheim is a village and district 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: Niederzeuzheim Target entity description: Niederzeuzheim is a village and district of the town of Hadamar in the Limburg-Weilburg region of Hesse, Germany.
-
A.
Oberzeuzheim
Oberzeuzheim is a village and district (Ortsteil) of the town of Hadamar in the Limburg-Weilburg region of Hesse, Germany.
-
B.
Erolzheim
Erolzheim is a small municipality in the district of Biberach in the German state of Baden-Württemberg.
-
C.
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.
-
D.
Mergentheim
Mergentheim is a historic town in southern Germany best known as the former main seat of the Teutonic Order and for its well-preserved medieval and baroque architecture.
-
E.
Geinsheim
Geinsheim is a village and local district of the town Neustadt an der Weinstraße in the German state of Rhineland-Palatinate.
- 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_69d2cbf9ffb88190a87833d6fe080950 |
completed | April 5, 2026, 8:54 p.m. |
| NEDg | Description generation | batch_69d2cd8d611c81909085b3290eb54d16 |
completed | April 5, 2026, 9:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d2ce686da48190b32a2053b94f1d48 |
completed | April 5, 2026, 9:04 p.m. |
Created at: March 30, 2026, 9:03 p.m.