Triple
T23791389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catholic universities in Chile |
E588097
|
entity |
| Predicate | enroll |
P61744
|
FINISHED |
| Object | undergraduate 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: undergraduate students | Statement: [Catholic universities in Chile, enroll, undergraduate students]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: enroll Context triple: [Catholic universities in Chile, enroll, undergraduate students]
-
A.
enrollment
Indicates the formal act of registering or being registered in a course, program, or institution, establishing an official participant–provider relationship.
-
B.
enrolledIn
chosen
Indicates that one entity is formally registered as a participant in a course, program, or institution represented by another entity.
-
C.
enrolledForm
Indicates that an entity is formally registered or signed up to participate in a particular form, program, or course.
-
D.
usesEnrollment
Indicates that one entity employs or relies on a particular enrollment record, process, or status in order to function or be applied.
-
E.
compulsoryEnrollment
Indicates that participation or registration in a specified program, course, or institution is required by rule or law rather than left to individual choice.
- 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_69e2490f4ad48190b690878eec3596c6 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1c6d8215c8190af4f2dd7478e2c04 |
completed | April 29, 2026, 8:52 a.m. |
| PD | Predicate disambiguation | batch_69f155fe300481909bd617443228df65 |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 7:17 p.m.