Triple
T38255185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ritsumeikan University Kinugasa area |
E1017765
|
entity |
| Predicate | hasMainCampusNameInJapanese |
—
|
GENERATED |
| Object | 立命館大学衣笠キャンパス |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMainCampusNameInJapanese Context triple: [Ritsumeikan University Kinugasa area, hasMainCampusNameInJapanese, 立命館大学衣笠キャンパス]
-
A.
hasOfficialNameInJapanese
Indicates that an entity has an official, formally recognized name expressed in the Japanese language.
-
B.
hasNameInJapanese
chosen
Indicates that an entity is associated with a specific name expressed in the Japanese language.
-
C.
officialNameInRomaji
Indicates that an entity’s official name is written using the Roman alphabet (romaji) representation.
-
D.
hasSubschoolsInJapan
Indicates that an entity (such as a school or organization) has subordinate branches or subschools located within Japan.
-
E.
hasAlleyNameInJapanese
Indicates that an alley has a specific name expressed in the Japanese language.
- F. None of above.
Provenance (1 batch)
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_69f76de33e4481909099fa812709bd42 |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4:30 p.m.