Triple
T239782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Master of Information Management and Systems |
E4903
|
entity |
| Predicate | typicalApplicants |
P4802
|
FINISHED |
| Object | students with quantitative backgrounds |
—
|
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: students with quantitative backgrounds | Statement: [Master of Information Management and Systems, typicalApplicants, students with quantitative backgrounds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalApplicants Context triple: [Master of Information Management and Systems, typicalApplicants, students with quantitative backgrounds]
-
A.
typicalApplicantBackground
chosen
Indicates that there is a commonly observed or standard set of characteristics or experiences that describe the usual background of an applicant for a given role or program.
-
B.
typicalAdmissionSelectivity
Indicates the usual level of competitiveness or restrictiveness in admitting applicants to an institution or program.
-
C.
eligibilityCriteria
Indicates the conditions or requirements that must be satisfied for an entity to qualify for or be considered eligible for something.
-
D.
academicStatus
Indicates the educational or scholarly standing or level an entity holds within an academic context.
-
E.
undergraduatesApprox
Indicates that the relationship involves an approximate or estimated number of undergraduate students associated with an entity.
- 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_69a257c3d0708190b0871c4269d273e6 |
completed | Feb. 28, 2026, 2:49 a.m. |
| NER | Named-entity recognition | batch_69a25dacf60c8190a5c3ef455b9a8b20 |
completed | Feb. 28, 2026, 3:14 a.m. |
| PD | Predicate disambiguation | batch_69a25b5f27208190ae13f34037fe582b |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.