Triple
T32005116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kinema Junpo Award |
E817243
|
entity |
| Predicate | publicationLanguageOfResults |
P197522
|
FINISHED |
| Object | Japanese |
—
|
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: Japanese | Statement: [Kinema Junpo Award, publicationLanguageOfResults, Japanese]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publicationLanguageOfResults Context triple: [Kinema Junpo Award, publicationLanguageOfResults, Japanese]
-
A.
publicationLanguageOfSourceWork
Indicates the language in which the original source work was published.
-
B.
laterLanguageOfDissemination
Indicates that one language was used to disseminate or publish a work at a later time than another language associated with the same work.
-
C.
citationLanguage
Indicates the language in which a cited work or reference is written or presented.
-
D.
firstEuropeanPublicationLanguage
Indicates the language in which an entity was first published in Europe.
-
E.
resultsPublishedBy
Indicates that the results of an activity, process, or event are made publicly available or formally issued by a particular agent or organization.
- 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_69f348f8ce388190ae84376b1f348f12 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fe991bca608190b524e419642f4243 |
completed | May 9, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69fe979fc1c4819091fc48d63ea12063 |
completed | May 9, 2026, 2:10 a.m. |
| PDg | Predicate description generation | batch_69fe991abc6c81908edbb98d61c9ca73 |
completed | May 9, 2026, 2:16 a.m. |
Created at: May 1, 2026, 12:15 a.m.