Triple
T37357974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Papageno |
E927504
|
entity |
| Predicate | nationalityInWorkContext |
P43801
|
FINISHED |
| Object | Austrian cultural context |
—
|
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: Austrian cultural context | Statement: [Papageno, nationalityInWorkContext, Austrian cultural context]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nationalityInWorkContext Context triple: [Papageno, nationalityInWorkContext, Austrian cultural context]
-
A.
workerNationality
Indicates the country or nationality to which a worker belongs or is legally associated.
-
B.
workSubjectNationality
chosen
Indicates that the subject of a work has a specified nationality.
-
C.
nationalityInText
Indicates that a person's nationality is mentioned or specified within a given text.
-
D.
workFromCountry
Indicates that an entity performs their work or job while being physically located in a specified country.
-
E.
sourceWorkNationality
Indicates that a work or source is associated with a particular nationality or country of origin.
- 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_69f76eb701788190b40824bc4594d985 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fe1fd637c08190aa95cd2478c278cb |
completed | May 8, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69fe19344bb481909b5e2144155e4add |
completed | May 8, 2026, 5:11 p.m. |
Created at: May 3, 2026, 4:16 p.m.