Triple
T17696262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gesammelte Werke in Einzelausgaben |
E441177
|
entity |
| Predicate | workLanguageOfSubject |
P115202
|
FINISHED |
| Object | Hugo von Hofmannsthal’s German texts |
—
|
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: Hugo von Hofmannsthal’s German texts | Statement: [Gesammelte Werke in Einzelausgaben, workLanguageOfSubject, Hugo von Hofmannsthal’s German texts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workLanguageOfSubject Context triple: [Gesammelte Werke in Einzelausgaben, workLanguageOfSubject, Hugo von Hofmannsthal’s German texts]
-
A.
languageOfSubjects
Indicates the language used by or associated with the subjects in question.
-
B.
workLanguageOfTitle
chosen
Indicates the language in which a specific work or title is expressed or written.
-
C.
hasPrimaryLanguageOfResearch
Indicates that an entity’s main or principal language used for conducting and publishing research is a specified language.
-
D.
primaryLanguageInWork
Indicates that a specified language is the main or predominant language used within a particular work (such as a book, film, or document).
-
E.
languageOfTeachings
Indicates the language in which teachings, lessons, or instructional content are delivered or expressed.
- 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_69d8b9ea20b48190ace88bb46b01e6a9 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47156a8f8819080cc730f4e9bc6ad |
completed | April 19, 2026, 6:08 a.m. |
| PD | Predicate disambiguation | batch_69e3cde3673c8190a889e14ba1f07dc1 |
completed | April 18, 2026, 6:30 p.m. |
Created at: April 10, 2026, 10:04 a.m.