Triple
T9440810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Augsburg district |
E227639
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Allmannshofen
Allmannshofen is a small municipality in the Swabian region of Bavaria in southern Germany.
|
E804749
|
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: Allmannshofen | Statement: [Augsburg district, contains, Allmannshofen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Allmannshofen Context triple: [Augsburg district, contains, Allmannshofen]
-
A.
Glattfelden
Glattfelden is a municipality in the canton of Zurich in northern Switzerland, known for its scenic setting along the Glatt River and its well-preserved historic village center.
-
B.
Schlagenhofen
Schlagenhofen is a small village in Bavaria, Germany, that forms part of the municipality of Inning am Ammersee near Lake Ammersee.
-
C.
Gerolzhofen
Gerolzhofen is a small historic town in northern Bavaria, Germany, known for its medieval architecture and wine-growing surroundings.
-
D.
Eberhardzell
Eberhardzell is a rural municipality in the district of Biberach in the German state of Baden-Württemberg.
-
E.
Oberweier
Oberweier is a district of the town of Gaggenau in the Rastatt district of Baden-Württemberg, Germany, known for its village character within the Murg Valley region.
- 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: Allmannshofen Triple: [Augsburg district, contains, Allmannshofen]
Generated description
Allmannshofen is a small municipality in the Swabian region of Bavaria in southern Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Allmannshofen Target entity description: Allmannshofen is a small municipality in the Swabian region of Bavaria in southern Germany.
-
A.
Glattfelden
Glattfelden is a municipality in the canton of Zurich in northern Switzerland, known for its scenic setting along the Glatt River and its well-preserved historic village center.
-
B.
Schlagenhofen
Schlagenhofen is a small village in Bavaria, Germany, that forms part of the municipality of Inning am Ammersee near Lake Ammersee.
-
C.
Gerolzhofen
Gerolzhofen is a small historic town in northern Bavaria, Germany, known for its medieval architecture and wine-growing surroundings.
-
D.
Eberhardzell
Eberhardzell is a rural municipality in the district of Biberach in the German state of Baden-Württemberg.
-
E.
Oberweier
Oberweier is a district of the town of Gaggenau in the Rastatt district of Baden-Württemberg, Germany, known for its village character within the Murg Valley region.
- 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_69ca843884488190ad6cbe0153088234 |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7ee4f4a08190ada5ee14fec2b822 |
completed | April 1, 2026, 8:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d14be965e881909acda0a2df1b24b3 |
completed | April 4, 2026, 5:35 p.m. |
| NEDg | Description generation | batch_69d14ca535588190aa2ff77f0658226b |
completed | April 4, 2026, 5:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d14d29d32c8190a8615b3450492abc |
completed | April 4, 2026, 5:40 p.m. |
Created at: March 30, 2026, 7:50 p.m.