Triple
T36936855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 東北大学大学院情報科学研究科 |
E913642
|
entity |
| Predicate | ウェブサイト言語 |
P16555
|
FINISHED |
| Object | 日本語 |
—
|
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: 日本語 | Statement: [東北大学大学院情報科学研究科, ウェブサイト言語, 日本語]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ウェブサイト言語 Context triple: [東北大学大学院情報科学研究科, ウェブサイト言語, 日本語]
-
A.
languageOfOfficialWebsite
chosen
Indicates the language in which an entity’s official website is primarily written or presented.
-
B.
languageCategory
Indicates the classification relationship where a language is assigned to a particular linguistic or functional category.
-
C.
isWorldLanguage
Indicates that a language is widely used across multiple countries or regions and serves as a common means of communication beyond its original native community.
-
D.
contentLanguage
Indicates the language in which the content is expressed or intended to be understood.
-
E.
navigationLanguage
Indicates the language used for navigation-related content, such as menus, directions, or interface controls.
- 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_69f76e8a6a5c81909c1febf32bf3fe23 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f9fdfc6a1c8190ba9fd414a889fc72 |
completed | May 5, 2026, 2:26 p.m. |
| PD | Predicate disambiguation | batch_69f7cf79ddb08190a083405cccc14137 |
completed | May 3, 2026, 10:43 p.m. |
Created at: May 3, 2026, 4:13 p.m.