Triple
T18350646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Priest (The Trial) |
E439657
|
entity |
| Predicate | nationalityOfWorkContext |
P72837
|
FINISHED |
| Object | Austro-Hungarian literature |
—
|
LITERAL FINISHED |
How this triple was built (2 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: Austro-Hungarian literature | Statement: [The Priest (The Trial), nationalityOfWorkContext, Austro-Hungarian literature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nationalityOfWorkContext Context triple: [The Priest (The Trial), nationalityOfWorkContext, Austro-Hungarian literature]
-
A.
nationalContextOfWork
chosen
Indicates the country or national setting within which the work or activity is carried out.
-
B.
sourceWorkNationality
Indicates that a work or source is associated with a particular nationality or country of origin.
-
C.
workSubjectNationality
Indicates that the subject of a work has a specified nationality.
-
D.
nationalityInText
Indicates that a person's nationality is mentioned or specified within a given text.
-
E.
placeOfOriginOfWork
Indicates the location where a work (such as an artwork, literary piece, or other creation) was originally produced or created.
- F. None of above.
Provenance (3 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_69d8b918221c8190a9f7b563d64ac677 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e514f83b648190b473cf611851c666 |
completed | April 19, 2026, 5:46 p.m. |
| PD | Predicate disambiguation | batch_69e44fe91bc08190906518e1b120fcf0 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:37 a.m.