Triple
T5639255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Balseiro Institute |
E124223
|
entity |
| Predicate | studentToFacultyRatio |
P25336
|
FINISHED |
| Object | low |
—
|
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: low | Statement: [Balseiro Institute, studentToFacultyRatio, low]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: studentToFacultyRatio Context triple: [Balseiro Institute, studentToFacultyRatio, low]
-
A.
studentFacultyRatio
chosen
Indicates the numerical relationship between the number of students and the number of faculty members in an institution.
-
B.
hasFacultySizeApprox
Indicates that an institution has an approximate number of faculty members equal to the specified value.
-
C.
numberOfFaculties
Indicates the total count of faculties associated with a given entity.
-
D.
studentPopulationLevel
Indicates the relative size or magnitude of the student population associated with an entity.
-
E.
servesStudentPopulation
Indicates that an entity provides services, resources, or support to a defined 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_69c00824643c81909ffdb888a2d35189 |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c02283bb248190b29ac6255c78c5ec |
completed | March 22, 2026, 5:10 p.m. |
| PD | Predicate disambiguation | batch_69c01b2168508190b64b355cf50034ad |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:41 p.m.