Triple
T11309959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 大阪工業大学枚方キャンパス |
E267810
|
entity |
| Predicate | 国際分類 |
P98439
|
FINISHED |
| Object | 高等教育機関キャンパス |
—
|
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: 高等教育機関キャンパス | Statement: [大阪工業大学枚方キャンパス, 国際分類, 高等教育機関キャンパス]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 国際分類 Context triple: [大阪工業大学枚方キャンパス, 国際分類, 高等教育機関キャンパス]
-
A.
internationalDesignation
Indicates that an entity has been assigned a formal status, code, or recognition by an international body or under an internationally agreed system.
-
B.
regionClassification
Indicates how a given area or location is categorized into a specific region based on defined criteria or boundaries.
-
C.
classificationIntroduced
Indicates that one entity has introduced or established a particular classification or categorization for another entity.
-
D.
classificationByEuropeanUnion
Indicates the categorization or regulatory status assigned to an entity according to European Union classification systems or standards.
-
E.
isClassifiedUnder
Indicates that one entity is categorized or grouped within a broader class, type, or category represented by another entity.
- 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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9c0b3b88190ac0e3d6a5ad3b9bc |
completed | April 9, 2026, 6:02 p.m. |
| PD | Predicate disambiguation | batch_69d787aa31888190860eecaa80da5b20 |
completed | April 9, 2026, 11:04 a.m. |
| PDg | Predicate description generation | batch_69d796d049e88190a9fd7508f477f541 |
completed | April 9, 2026, 12:08 p.m. |
Created at: April 8, 2026, 9:32 p.m.