Triple
T2362559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tecnológico de Monterrey |
E47306
|
entity |
| Predicate | hasStudentExchangePrograms |
P18227
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Tecnológico de Monterrey, hasStudentExchangePrograms, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStudentExchangePrograms Context triple: [Tecnológico de Monterrey, hasStudentExchangePrograms, yes]
-
A.
hasSemesterAbroadPrograms
Indicates that an educational institution offers programs allowing students to study abroad for one or more academic semesters.
-
B.
offersInternationalPrograms
chosen
Indicates that an institution or organization provides programs or courses available to participants from other countries or across national borders.
-
C.
hasInternationalStudents
Indicates that an institution or organization includes students who come from countries other than the one in which it is located.
-
D.
hasStudyAbroad
Indicates that an entity has participated in or completed a study-abroad experience in another country.
-
E.
hasUndergraduatePrograms
Indicates that an educational institution offers one or more undergraduate-level academic programs.
- 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_69a88a1a4a6081908645b0f2914521ab |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc74501388190adce9b3e51a03ded |
completed | March 7, 2026, 6:35 a.m. |
| PD | Predicate disambiguation | batch_69abc599b92c819093d9e15d4437705d |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:55 p.m.