Triple
T7553132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Algebra I |
E178585
|
entity |
| Predicate | languageOfAvailableEditions |
P77946
|
FINISHED |
| Object | German |
—
|
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: German | Statement: [Algebra I, languageOfAvailableEditions, German]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfAvailableEditions Context triple: [Algebra I, languageOfAvailableEditions, German]
-
A.
languageOfOfficialEditions
Indicates the language in which the official editions or versions of a work, document, or publication are produced or authorized.
-
B.
publisherLanguageEdition
Indicates the specific language edition in which a publisher issues or has issued a work.
-
C.
languageOfInternationalEdition
Indicates that a specified language is the language used in the international edition of a work or publication.
-
D.
languageOfReleases
Indicates the language in which the releases associated with an entity are produced or published.
-
E.
languageOfBooks
Indicates the language in which the referenced books are written or published.
- F. None of above. chosen
Provenance (4 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_69c69f2da22c8190a50942ac20af70e8 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8b8165481908285fc9697fe4c99 |
completed | March 27, 2026, 9:38 p.m. |
| PD | Predicate disambiguation | batch_69c6f4daad6c8190af2b8ae88d2c8cb7 |
completed | March 27, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69c6f8184bb08190b2f70545a6aa277c |
completed | March 27, 2026, 9:35 p.m. |
Created at: March 27, 2026, 3:49 p.m.