Triple
T19325625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schwäbisch Hall (district) |
E483339
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Ilshofen
Ilshofen is a small town in the German state of Baden-Württemberg, known for its rural character and location in the Hohenlohe region.
|
E1377659
|
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: Ilshofen | Statement: [Schwäbisch Hall (district), contains, Ilshofen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ilshofen Context triple: [Schwäbisch Hall (district), contains, Ilshofen]
-
A.
Odelshofen
Odelshofen is a village and district (Ortsteil) of the town of Kehl in the state of Baden-Württemberg, Germany.
-
B.
Zierolshofen
Zierolshofen is a village and district of the town of Kehl in the Ortenaukreis region of Baden-Württemberg, Germany.
-
C.
Reichertshofen
Reichertshofen is a market town and municipality in Upper Bavaria, Germany, known for its location near the confluence of the Paar and Ilm rivers and its proximity to the city of Ingolstadt.
-
D.
Vilgertshofen
Vilgertshofen is a small rural municipality in the Bavarian region of Germany, characterized by its agricultural landscape and village-style community.
-
E.
Etzelkofen
Etzelkofen is a former Swiss municipality in the canton of Bern that has been incorporated into the larger municipality of Fraubrunnen.
- 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: Ilshofen Triple: [Schwäbisch Hall (district), contains, Ilshofen]
Generated description
Ilshofen is a small town in the German state of Baden-Württemberg, known for its rural character and location in the Hohenlohe region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ilshofen Target entity description: Ilshofen is a small town in the German state of Baden-Württemberg, known for its rural character and location in the Hohenlohe region.
-
A.
Odelshofen
Odelshofen is a village and district (Ortsteil) of the town of Kehl in the state of Baden-Württemberg, Germany.
-
B.
Zierolshofen
Zierolshofen is a village and district of the town of Kehl in the Ortenaukreis region of Baden-Württemberg, Germany.
-
C.
Reichertshofen
Reichertshofen is a market town and municipality in Upper Bavaria, Germany, known for its location near the confluence of the Paar and Ilm rivers and its proximity to the city of Ingolstadt.
-
D.
Vilgertshofen
Vilgertshofen is a small rural municipality in the Bavarian region of Germany, characterized by its agricultural landscape and village-style community.
-
E.
Etzelkofen
Etzelkofen is a former Swiss municipality in the canton of Bern that has been incorporated into the larger municipality of Fraubrunnen.
- 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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e60d8bb28c81909b3a3bbb96b69b4f |
completed | April 20, 2026, 11:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a073b1ab68081909fef8ddeb8e75a8b |
completed | May 15, 2026, 3:26 p.m. |
| NEDg | Description generation | batch_6a073d1ac0cc8190bf59eeb18e4d7ff1 |
completed | May 15, 2026, 3:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a073de0847c81909d34fc24b48e5f97 |
completed | May 15, 2026, 3:38 p.m. |
Created at: April 10, 2026, 1:33 p.m.