Triple
T15257669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rikkyo University Ikebukuro Campus |
E364688
|
entity |
| Predicate | hasStudentFacility |
P2465
|
FINISHED |
| Object | student center |
—
|
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: student center | Statement: [Rikkyo University Ikebukuro Campus, hasStudentFacility, student center]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStudentFacility Context triple: [Rikkyo University Ikebukuro Campus, hasStudentFacility, student center]
-
A.
campusFacility
Indicates that one entity is a facility that is located on or belongs to a particular campus.
-
B.
hasCampusFeature
chosen
Indicates that a campus possesses or includes a specific physical or functional feature.
-
C.
hasAcademicFacilities
Indicates that an entity provides or is equipped with academic facilities such as classrooms, laboratories, libraries, or other educational infrastructure.
-
D.
hasStudentServices
Indicates that an entity provides or is associated with student support services for another entity or group.
-
E.
hasStudentWing
Indicates that an organization or institution includes a dedicated student wing or student-affiliated subdivision.
- 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0084b97908190b3bf7ea7bd75bdc0 |
completed | April 15, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69deca8d1bd48190a4b94f29b425e335 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:13 a.m.