Triple
T9440815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Augsburg district |
E227639
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Klosterlechfeld
Klosterlechfeld is a small municipality in the Bavarian region of Swabia in southern Germany.
|
E798941
|
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: Klosterlechfeld | Statement: [Augsburg district, contains, Klosterlechfeld]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Klosterlechfeld Context triple: [Augsburg district, contains, Klosterlechfeld]
-
A.
Kirchlindach
Kirchlindach is a Swiss municipality in the canton of Bern, known for its rural character and proximity to the city of Bern.
-
B.
Pleiskirchen
Pleiskirchen is a small municipality in Bavaria, Germany, known as the birthplace of German Catholic priest and musician Georg Ratzinger, brother of Pope Benedict XVI.
-
C.
Bergrheinfeld
Bergrheinfeld is a municipality in the Schweinfurt district of northern Bavaria, Germany, known for its residential character and proximity to the industrial city of Schweinfurt.
-
D.
Eberhardzell
Eberhardzell is a rural municipality in the district of Biberach in the German state of Baden-Württemberg.
-
E.
Bischofswiesen
Bischofswiesen is a municipality in the Bavarian Alps of southeastern Germany, known for its scenic mountain landscapes and proximity to Berchtesgaden.
- 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: Klosterlechfeld Triple: [Augsburg district, contains, Klosterlechfeld]
Generated description
Klosterlechfeld is a small municipality in the Bavarian region of Swabia in southern Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Klosterlechfeld Target entity description: Klosterlechfeld is a small municipality in the Bavarian region of Swabia in southern Germany.
-
A.
Kirchlindach
Kirchlindach is a Swiss municipality in the canton of Bern, known for its rural character and proximity to the city of Bern.
-
B.
Pleiskirchen
Pleiskirchen is a small municipality in Bavaria, Germany, known as the birthplace of German Catholic priest and musician Georg Ratzinger, brother of Pope Benedict XVI.
-
C.
Bergrheinfeld
Bergrheinfeld is a municipality in the Schweinfurt district of northern Bavaria, Germany, known for its residential character and proximity to the industrial city of Schweinfurt.
-
D.
Eberhardzell
Eberhardzell is a rural municipality in the district of Biberach in the German state of Baden-Württemberg.
-
E.
Bischofswiesen
Bischofswiesen is a municipality in the Bavarian Alps of southeastern Germany, known for its scenic mountain landscapes and proximity to Berchtesgaden.
- 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_69d1105dc6b48190bd6c7d932d9f48d5 |
completed | April 4, 2026, 1:21 p.m. |
| NEDg | Description generation | batch_69d1112e140c8190ad6d9b3a25d48af7 |
completed | April 4, 2026, 1:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d111b6c1d881909eb555a6a524c6db |
completed | April 4, 2026, 1:27 p.m. |
Created at: March 30, 2026, 7:50 p.m.