Triple
T34152371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wenzhou-Kean University campus |
E876033
|
entity |
| Predicate | primaryDegreeStandard |
P205339
|
FINISHED |
| Object | U.S. degree requirements |
—
|
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: U.S. degree requirements | Statement: [Wenzhou-Kean University campus, primaryDegreeStandard, U.S. degree requirements]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryDegreeStandard Context triple: [Wenzhou-Kean University campus, primaryDegreeStandard, U.S. degree requirements]
-
A.
primaryHighSchool
Indicates that a person attended or is associated with a particular high school as their main or principal secondary education institution.
-
B.
primaryCollege
Indicates that one college is the main or principal college associated with a given entity (such as a person or program), as opposed to any secondary or affiliated colleges.
-
C.
primaryUniversityType
Indicates the main or predominant classification of a university (e.g., by level, focus, or type) within a given context.
-
D.
primaryDurationOfStudy
Indicates the main length of time allocated or required for a particular course of study or educational program.
-
E.
typicalDegree
Indicates the usual or characteristic level, intensity, or extent to which something holds or applies in a given context.
- F. None of above. chosen
Provenance (4 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_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379f963908190846d232f386fd98f |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c80ba448190853011097a151b7e |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 1:54 a.m.