Triple
T1603740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Komaba Campus |
E34450
|
entity |
| Predicate | servesStudentYears |
P3870
|
FINISHED |
| Object | first-year undergraduates |
—
|
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: first-year undergraduates | Statement: [Komaba Campus, servesStudentYears, first-year undergraduates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesStudentYears Context triple: [Komaba Campus, servesStudentYears, first-year undergraduates]
-
A.
servesGradeLevels
chosen
Indicates that an entity (such as a school or program) provides services or instruction to students in the specified grade levels.
-
B.
servesStudentPopulation
Indicates that an entity provides services, resources, or support to a defined group of students.
-
C.
hasStudents
Indicates that an entity (such as a class, school, or teacher) is associated with one or more students.
-
D.
serviceYears
Indicates the number of years an entity has provided service or been in a particular role, position, or organization.
-
E.
acceptsStudents
Indicates that an institution or program allows and takes in students as participants or members.
- 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_69a885fea6a481909fe83ba6441f1774 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a95b02cd448190be8e3db9a5a7bac0 |
completed | March 5, 2026, 10:29 a.m. |
| PD | Predicate disambiguation | batch_69a907c1cad08190b9728dd557f39aa0 |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:28 p.m.