Triple
T10633345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kehl |
E250513
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Zierolshofen
Zierolshofen is a village and district of the town of Kehl in the Ortenaukreis region of Baden-Württemberg, Germany.
|
E907024
|
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: Zierolshofen | Statement: [Kehl, hasSubdivision, Zierolshofen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zierolshofen Context triple: [Kehl, hasSubdivision, Zierolshofen]
-
A.
Odelshofen
Odelshofen is a village and district (Ortsteil) of the town of Kehl in the state of Baden-Württemberg, Germany.
-
B.
Allmannshofen
Allmannshofen is a small municipality in the Swabian region of Bavaria in southern Germany.
-
C.
Vilgertshofen
Vilgertshofen is a small rural municipality in the Bavarian region of Germany, characterized by its agricultural landscape and village-style community.
-
D.
Eberhardzell
Eberhardzell is a rural municipality in the district of Biberach in the German state of Baden-Württemberg.
-
E.
Gerolzhofen
Gerolzhofen is a small historic town in northern Bavaria, Germany, known for its medieval architecture and wine-growing surroundings.
- 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: Zierolshofen Triple: [Kehl, hasSubdivision, Zierolshofen]
Generated description
Zierolshofen is a village and district of the town of Kehl in the Ortenaukreis region of Baden-Württemberg, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zierolshofen Target entity description: Zierolshofen is a village and district of the town of Kehl in the Ortenaukreis region of Baden-Württemberg, Germany.
-
A.
Odelshofen
Odelshofen is a village and district (Ortsteil) of the town of Kehl in the state of Baden-Württemberg, Germany.
-
B.
Allmannshofen
Allmannshofen is a small municipality in the Swabian region of Bavaria in southern Germany.
-
C.
Vilgertshofen
Vilgertshofen is a small rural municipality in the Bavarian region of Germany, characterized by its agricultural landscape and village-style community.
-
D.
Eberhardzell
Eberhardzell is a rural municipality in the district of Biberach in the German state of Baden-Württemberg.
-
E.
Gerolzhofen
Gerolzhofen is a small historic town in northern Bavaria, Germany, known for its medieval architecture and wine-growing surroundings.
- 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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6df95f5e88190b34ce3ec972759ef |
completed | April 8, 2026, 11:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4416ecd748190b15f7496e1ce7728 |
completed | April 19, 2026, 2:43 a.m. |
| NEDg | Description generation | batch_69e44c0606408190819b9d3fd58f818f |
completed | April 19, 2026, 3:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4510dc55081908f89aab15726b2a8 |
completed | April 19, 2026, 3:50 a.m. |
Created at: April 8, 2026, 9:02 p.m.