Triple
T20667826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Freising district |
E507938
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Kirchdorf an der Amper
Kirchdorf an der Amper is a municipality in the Bavarian region of Germany, situated along the Amper River and characterized by its rural landscape and small-village charm.
|
E1446185
|
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: Kirchdorf an der Amper | Statement: [Freising district, contains, Kirchdorf an der Amper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kirchdorf an der Amper Context triple: [Freising district, contains, Kirchdorf an der Amper]
-
A.
Kirchdorf
Kirchdorf is a small municipality in the Bavarian district of Kelheim in southern Germany.
-
B.
Kirchdorf im Wald
Kirchdorf im Wald is a small municipality in the Bavarian Forest region of southeastern Germany.
-
C.
Kirchdorf an der Iller
Kirchdorf an der Iller is a small municipality in the German state of Baden-Württemberg, situated along the Iller River.
-
D.
Böheimkirchen
Böheimkirchen is a market town in Lower Austria known for its rural character and proximity to the state capital, St. Pölten.
-
E.
Pfarrkirchen
Pfarrkirchen is a small Bavarian town in southeastern Germany known as the administrative center of the Rottal-Inn district.
- 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: Kirchdorf an der Amper Triple: [Freising district, contains, Kirchdorf an der Amper]
Generated description
Kirchdorf an der Amper is a municipality in the Bavarian region of Germany, situated along the Amper River and characterized by its rural landscape and small-village charm.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kirchdorf an der Amper Target entity description: Kirchdorf an der Amper is a municipality in the Bavarian region of Germany, situated along the Amper River and characterized by its rural landscape and small-village charm.
-
A.
Kirchdorf
Kirchdorf is a small municipality in the Bavarian district of Kelheim in southern Germany.
-
B.
Kirchdorf im Wald
Kirchdorf im Wald is a small municipality in the Bavarian Forest region of southeastern Germany.
-
C.
Kirchdorf an der Iller
Kirchdorf an der Iller is a small municipality in the German state of Baden-Württemberg, situated along the Iller River.
-
D.
Böheimkirchen
Böheimkirchen is a market town in Lower Austria known for its rural character and proximity to the state capital, St. Pölten.
-
E.
Pfarrkirchen
Pfarrkirchen is a small Bavarian town in southeastern Germany known as the administrative center of the Rottal-Inn district.
- 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_69e0b4c059bc81908ea762cd73ea4424 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b5c4c4608190ae17da4a59e5ae80 |
completed | April 20, 2026, 11:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08d7d8335c819092678d51353eda8b |
completed | May 16, 2026, 8:47 p.m. |
| NEDg | Description generation | batch_6a08dbdeb8e48190b8fda90fbd2a1837 |
completed | May 16, 2026, 9:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08dc66bc4081908bdcc559fc777cd3 |
completed | May 16, 2026, 9:06 p.m. |
Created at: April 16, 2026, 11:44 a.m.