Triple
T29632239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anthology of Russian Literature |
E755604
|
entity |
| Predicate | containsWorkLanguage |
P197658
|
FINISHED |
| Object | Russian (translated into English) |
—
|
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: Russian (translated into English) | Statement: [Anthology of Russian Literature, containsWorkLanguage, Russian (translated into English)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsWorkLanguage Context triple: [Anthology of Russian Literature, containsWorkLanguage, Russian (translated into English)]
-
A.
usesWorkingLanguagesOf
Indicates that one entity employs or operates using the working languages associated with another entity.
-
B.
lenguaDeTrabajo
Indicates that something functions as a working language used for communication in a specific context or setting.
-
C.
hasOfficialLanguageOfWork
Indicates that an entity uses a specified language as its official medium for conducting work or formal activities.
-
D.
hasWorkedInLanguage
Indicates that an entity has performed work or professional activities using a particular language.
-
E.
hasAwardedWorkLanguage
Indicates the language in which an awarded work (such as a prize-winning book, film, or other creation) is expressed.
- 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_69f0ef88fbe081908f0ad90c1c413f1c |
completed | April 28, 2026, 5:34 p.m. |
| NER | Named-entity recognition | batch_69fea1f5d8c481908dc3351dc9ecef7f |
completed | May 9, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69fea06b6fe0819095bf4c1bc9809927 |
completed | May 9, 2026, 2:48 a.m. |
| PDg | Predicate description generation | batch_69fea1f4daa88190bd3cc1ace684e77f |
completed | May 9, 2026, 2:54 a.m. |
Created at: April 28, 2026, 6:41 p.m.