Triple
T11246062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 青葉山キャンパス |
E266206
|
entity |
| Predicate | 関連キャンパス |
P9446
|
FINISHED |
| Object | 片平キャンパス |
—
|
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: 片平キャンパス | Statement: [青葉山キャンパス, 関連キャンパス, 片平キャンパス]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 関連キャンパス Context triple: [青葉山キャンパス, 関連キャンパス, 片平キャンパス]
-
A.
sisterCampus
Indicates that two educational institutions are formally recognized as sister campuses, typically sharing an affiliation, governance, or coordinated programs while remaining distinct entities.
-
B.
relatedInstitution
chosen
Indicates that there is an institutional connection or association between two entities, such as affiliation, partnership, or organizational linkage.
-
C.
hasCampusOn
Indicates that an institution or organization maintains a campus located on a specified geographic area or site.
-
D.
hasAdditionalCampus
Indicates that an educational institution maintains one or more campuses in addition to its primary or main campus.
-
E.
campus
Indicates that an entity is located on, associated with, or taking place within a particular campus.
- 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_69d6aac7953c8190b82caf9d7640fdf9 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e91c045c81908a9024a8aee32f4d |
completed | April 9, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69d7878906f48190b63ddc103a0c8f9b |
completed | April 9, 2026, 11:03 a.m. |
Created at: April 8, 2026, 9:31 p.m.