Triple
T11309948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 大阪工業大学枚方キャンパス |
E267810
|
entity |
| Predicate | 名称 |
P744
|
FINISHED |
| Object | 大阪工業大学枚方キャンパス |
—
|
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: 大阪工業大学枚方キャンパス | Statement: [大阪工業大学枚方キャンパス, 名称, 大阪工業大学枚方キャンパス]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 名称 Context triple: [大阪工業大学枚方キャンパス, 名称, 大阪工業大学枚方キャンパス]
-
A.
nameOf
chosen
Indicates that one entity is the name or designation of another entity.
-
B.
nameInChinese
Indicates that an entity has a specific written name or label expressed in the Chinese language.
-
C.
importName
Indicates that one entity brings another entity into a scope, module, or context under a specific name used for reference.
-
D.
nicknameOfProduct
Indicates that one term is used as an informal or alternative name (nickname) for a particular product.
-
E.
namesakeDescription
Indicates that the object provides a descriptive explanation of why or how the subject is considered a namesake of something or someone.
- 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_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. |
Created at: April 8, 2026, 9:32 p.m.