Triple
T27849473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 言語情報科学専攻 |
E703909
|
entity |
| Predicate | 設置組織 |
P110505
|
FINISHED |
| Object | 東京大学大学院総合文化研究科広域科学専攻群 |
—
|
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: 東京大学大学院総合文化研究科広域科学専攻群 | Statement: [言語情報科学専攻, 設置組織, 東京大学大学院総合文化研究科広域科学専攻群]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 設置組織 Context triple: [言語情報科学専攻, 設置組織, 東京大学大学院総合文化研究科広域科学専攻群]
-
A.
formsOrganization
chosen
Indicates that an entity initiates or creates a new organization or formal group.
-
B.
setInOrganization
Indicates that an entity is located, based, or operating within a particular organization.
-
C.
所属組織
Indicates that one entity belongs to, is a member of, or is organizationally affiliated with another entity.
-
D.
dynamicOrganization
Indicates that an entity is an organization whose structure, roles, or operations change over time in response to internal or external factors.
-
E.
namespaceOrganization
Indicates that one entity serves as the organizing or owning authority for a particular namespace associated with another entity.
- 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_69ef840d9e3c819093615ebff4ec22be |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f639040e748190a283658f38d24ef7 |
completed | May 2, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69f6318ae6f08190b3f85f9201046a15 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 27, 2026, 6:09 p.m.