Triple
T13754623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donau-Ries |
E330443
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Kaisheim
Kaisheim is a market town in the Donau-Ries district of Bavaria, Germany, known for its former Cistercian monastery.
|
E1060501
|
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: Kaisheim | Statement: [Donau-Ries, containsMunicipality, Kaisheim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaisheim Context triple: [Donau-Ries, containsMunicipality, Kaisheim]
-
A.
Kegley
Kegley is an unincorporated community located in Mercer County, West Virginia, United States.
-
B.
Ockenga
Ockenga is a surname most notably associated with Harold Ockenga, a prominent American evangelical leader and theologian.
-
C.
Kierling
Kierling is a small locality in Lower Austria best known as the place where writer Franz Kafka spent his final days and died.
-
D.
Leipe
Leipe is a small traditional village in Germany’s Spreewald region, known for its waterways, sorbian culture, and picturesque rural landscape.
-
E.
Kuppenheimer
Kuppenheimer was a prominent American men's clothing company best known for its high-quality suits and influential early 20th-century advertising campaigns.
- 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: Kaisheim Triple: [Donau-Ries, containsMunicipality, Kaisheim]
Generated description
Kaisheim is a market town in the Donau-Ries district of Bavaria, Germany, known for its former Cistercian monastery.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kaisheim Target entity description: Kaisheim is a market town in the Donau-Ries district of Bavaria, Germany, known for its former Cistercian monastery.
-
A.
Kegley
Kegley is an unincorporated community located in Mercer County, West Virginia, United States.
-
B.
Ockenga
Ockenga is a surname most notably associated with Harold Ockenga, a prominent American evangelical leader and theologian.
-
C.
Kierling
Kierling is a small locality in Lower Austria best known as the place where writer Franz Kafka spent his final days and died.
-
D.
Leipe
Leipe is a small traditional village in Germany’s Spreewald region, known for its waterways, sorbian culture, and picturesque rural landscape.
-
E.
Kuppenheimer
Kuppenheimer was a prominent American men's clothing company best known for its high-quality suits and influential early 20th-century advertising campaigns.
- 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_69d81c573f288190aa2403d484fa3d49 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02179c948190a652cc8c586e418f |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a859e6748190aa1899830a02b710 |
completed | May 3, 2026, 7:56 p.m. |
| NEDg | Description generation | batch_69f7a91deb3c8190ad2be7f1ca99ac9b |
completed | May 3, 2026, 7:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7ad51c6808190afa80fc3622399bf |
completed | May 3, 2026, 8:17 p.m. |
Created at: April 9, 2026, 10:09 p.m.