Triple
T34152388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wenzhou-Kean University campus |
E876033
|
entity |
| Predicate | primaryInstructionLevel |
P134824
|
FINISHED |
| Object | tertiary education |
—
|
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: tertiary education | Statement: [Wenzhou-Kean University campus, primaryInstructionLevel, tertiary education]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryInstructionLevel Context triple: [Wenzhou-Kean University campus, primaryInstructionLevel, tertiary education]
-
A.
primaryEducationalLevel
chosen
Indicates the main or highest level of formal education that an entity has attained or is associated with.
-
B.
primaryStudents
Indicates that the related entities are students enrolled at the primary or elementary education level.
-
C.
primaryYearLevel
Indicates the main or principal year level associated with an entity, such as a student, course, or program.
-
D.
primarySchool
Indicates that one entity serves as the primary (elementary) school attended by, associated with, or designated for the other entity.
-
E.
primary
Indicates that the referenced entity is the main or most important one among a set of related entities.
- 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_69f349abaa508190a820f206620efddc |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379f963908190846d232f386fd98f |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:54 a.m.