Triple
T7380897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sheridan College Davis Campus |
E170245
|
entity |
| Predicate | servesStudentPopulationType |
P9355
|
FINISHED |
| Object | domestic 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: domestic students | Statement: [Sheridan College Davis Campus, servesStudentPopulationType, domestic students]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesStudentPopulationType Context triple: [Sheridan College Davis Campus, servesStudentPopulationType, domestic students]
-
A.
servesStudentPopulation
chosen
Indicates that an entity provides services, resources, or support to a defined group of students.
-
B.
primaryStudentPopulation
Indicates the number or group of students who are enrolled at the primary or elementary level within an educational institution or system.
-
C.
studentPopulationLevel
Indicates the relative size or magnitude of the student population associated with an entity.
-
D.
schoolSystemType
Indicates the classification or organizational model of a school system (e.g., public, private, charter, or other structural type).
-
E.
typeOfSchoolDistrict
Indicates the classification or category of a school district, specifying what kind of school district it is.
- 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_69c68a5d0ed08190b6d361e68f813330 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1c7b5bc81908afa2bf39159979b |
completed | March 27, 2026, 9:08 p.m. |
| PD | Predicate disambiguation | batch_69c6f02ee3e08190a7a00c981129b22c |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:08 p.m.