Triple
T20438695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UniStraPg |
E501324
|
entity |
| Predicate | primaryTargetStudents |
P11007
|
FINISHED |
| Object | international students |
—
|
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: international students | Statement: [UniStraPg, primaryTargetStudents, international students]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryTargetStudents Context triple: [UniStraPg, primaryTargetStudents, international students]
-
A.
primaryStudents
Indicates that the related entities are students enrolled at the primary or elementary education level.
-
B.
primaryStudentBody
Indicates that one entity serves as the main group of enrolled students associated with an educational institution or program.
-
C.
primaryStudentType
Indicates the main or most characteristic type or category of student associated with an entity.
-
D.
primaryStudentPopulation
Indicates the number or group of students who are enrolled at the primary or elementary level within an educational institution or system.
-
E.
targetStudentGroup
chosen
Indicates a relationship where something is directed, tailored, or intended specifically for a particular group of students.
- 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_69e0b4ab3cfc8190ac9bf32e932316b1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e685f112e48190a3af818c0f6ee839 |
completed | April 20, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69e5766df0008190a73c4f613c29678f |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 16, 2026, 11:31 a.m.