Triple
T37062002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 大工大枚方キャンパス |
E917346
|
entity |
| Predicate | 所属機関種別 |
P185187
|
FINISHED |
| Object | 私立大学 |
—
|
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: 私立大学 | Statement: [大工大枚方キャンパス, 所属機関種別, 私立大学]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 所属機関種別 Context triple: [大工大枚方キャンパス, 所属機関種別, 私立大学]
-
A.
所属組織
Indicates that one entity belongs to, is a member of, or is organizationally affiliated with another entity.
-
B.
governmentalUnitType
Indicates the specific category or classification of a governmental unit (such as federal, state, municipal, or other administrative level) that an entity belongs to.
-
C.
partOfOrganizationType
chosen
Indicates that an entity belongs to or is a component of an organization of a specified type.
-
D.
typeOfGovernmentInstitution
Indicates that one entity is a government institution of the type or category specified by the other entity.
-
E.
sectorOfParentOrganization
Indicates that the specified sector or industry classification belongs to, or characterizes, the parent organization of the given 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_69f76e95fa40819091e14681087ae5e4 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb34e5576881909394355c8ec6ddd2 |
completed | May 6, 2026, 12:32 p.m. |
| PD | Predicate disambiguation | batch_69fb2f6171e88190bf1e0ee6a644b6a9 |
completed | May 6, 2026, 12:09 p.m. |
Created at: May 3, 2026, 4:14 p.m.