Triple
T23124864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Main-Kinzig-Kreis |
E576998
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Biebergemünd
Biebergemünd is a municipality in the state of Hesse in central Germany, situated in a rural area characterized by forests and small villages.
|
E996136
|
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: Biebergemünd | Statement: [Main-Kinzig-Kreis, contains, Biebergemünd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Biebergemünd Context triple: [Main-Kinzig-Kreis, contains, Biebergemünd]
-
A.
Sonsbeck
Sonsbeck is a small municipality in western Germany’s North Rhine-Westphalia state, known for its rural character and location within the Lower Rhine region.
-
B.
Kappelrodeck
Kappelrodeck is a municipality in southwestern Germany known for its wine-growing tradition and scenic location at the edge of the Black Forest.
-
C.
Königsbach
Königsbach is a village and wine-growing district that forms part of the town of Neustadt an der Weinstraße in Rhineland-Palatinate, Germany.
-
D.
Edermünde
Edermünde is a small municipality in central Germany known for its rural character and location near the city of Kassel in the state of Hesse.
-
E.
Morschen
Morschen is a small settlement in the German region historically associated with the Province of Westphalia.
- 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: Biebergemünd Triple: [Main-Kinzig-Kreis, contains, Biebergemünd]
Generated description
Biebergemünd is a municipality in the state of Hesse in central Germany, situated in a rural area characterized by forests and small villages.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Biebergemünd Target entity description: Biebergemünd is a municipality in the state of Hesse in central Germany, situated in a rural area characterized by forests and small villages.
-
A.
Sonsbeck
Sonsbeck is a small municipality in western Germany’s North Rhine-Westphalia state, known for its rural character and location within the Lower Rhine region.
-
B.
Kappelrodeck
Kappelrodeck is a municipality in southwestern Germany known for its wine-growing tradition and scenic location at the edge of the Black Forest.
-
C.
Königsbach
Königsbach is a village and wine-growing district that forms part of the town of Neustadt an der Weinstraße in Rhineland-Palatinate, Germany.
-
D.
Edermünde
chosen
Edermünde is a small municipality in central Germany known for its rural character and location near the city of Kassel in the state of Hesse.
-
E.
Morschen
Morschen is a small settlement in the German region historically associated with the Province of Westphalia.
- F. None of above.
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_69e245f6c2e881909a228fdcfeb7c7d3 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e53ac288190b27fe8064fb576c2 |
completed | April 29, 2026, 4:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c23f25dec8190984bc2dafd008a48 |
completed | May 19, 2026, 8:48 a.m. |
| NEDg | Description generation | batch_6a0c271e8a8c8190ba994f557f077288 |
completed | May 19, 2026, 9:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c27d3befc8190bc7a3697bc0e817b |
completed | May 19, 2026, 9:05 a.m. |
Created at: April 17, 2026, 3:59 p.m.