Triple
T14804974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Kraus Project |
E348007
|
entity |
| Predicate | settingOfEssays |
P115792
|
FINISHED |
| Object | Vienna |
E7023
|
NE FINISHED |
How this triple was built (3 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: Vienna | Statement: [The Kraus Project, settingOfEssays, Vienna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vienna Context triple: [The Kraus Project, settingOfEssays, Vienna]
-
A.
Vienna
chosen
Vienna is the capital city of Austria, renowned for its rich imperial history, classical music heritage, and vibrant cultural and intellectual life.
-
B.
Vienna
Vienna is the strong-willed saloon owner and central female protagonist in the 1954 Western film "Johnny Guitar."
-
C.
Vienna
Vienna is a suburban town in Fairfax County, Virginia, known for its residential neighborhoods, proximity to Washington, D.C., and access to the Washington Metro via the nearby Vienna/Fairfax–GMU station.
-
D.
Vienna
Vienna is a small town in Dane County, Wisconsin, known for its rural character and proximity to the Madison metropolitan area.
-
E.
Wien
Wien is a German surname most notably borne by physicist Wilhelm Wien, known for his work on blackbody radiation and Wien's displacement law.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: settingOfEssays Context triple: [The Kraus Project, settingOfEssays, Vienna]
-
A.
containsEssay
Indicates that one entity includes or holds an essay as part of its contents.
-
B.
numberOfEssays
Indicates the quantity of essays associated with a given entity or context.
-
C.
notableEssay
Indicates that an entity is the author or creator of an essay that is particularly significant, influential, or well-known.
-
D.
openingEssay
Indicates that an entity serves as the introductory or initial essay associated with another work, collection, or context.
-
E.
settingOfManyLetters
Indicates a setting or context in which many letters (such as written messages or characters) occur, are exchanged, or are central to the situation.
- 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decf32666081908e84f985c47eb963 |
completed | April 14, 2026, 11:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24ae3d6c819080c015ebc6bc9af0 |
completed | May 8, 2026, 6 p.m. |
| PD | Predicate disambiguation | batch_69de8c0ef8a4819092d84478b1f56db1 |
completed | April 14, 2026, 6:48 p.m. |
| PDg | Predicate description generation | batch_69de8f4b67cc8190b84b59fcec5cf579 |
completed | April 14, 2026, 7:02 p.m. |
Created at: April 10, 2026, 1:34 a.m.