Triple
T23402842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Facultad de Odontología |
E559551
|
entity |
| Predicate | tipoDeFormación |
P177
|
FINISHED |
| Object | grado |
—
|
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: grado | Statement: [Facultad de Odontología, tipoDeFormación, grado]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tipoDeFormación Context triple: [Facultad de Odontología, tipoDeFormación, grado]
-
A.
courseType
Indicates the classification or category of a course based on its nature, level, or instructional format.
-
B.
educationType
chosen
Indicates the specific category or level of education associated with an entity, such as formal, informal, primary, secondary, or higher education.
-
C.
trainingFormat
Indicates the specific method or medium through which training is delivered or conducted.
-
D.
curriculumType
Indicates the classification or category of curriculum associated with an educational program or course.
-
E.
typeOfTeaching
Indicates the specific method or style of teaching used in an instructional context.
- 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_69e24549610c8190a069d6411ce5f661 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a4e09ccc81909869d2c5f6d68432 |
completed | April 29, 2026, 6:27 a.m. |
| PD | Predicate disambiguation | batch_69f061ed34288190a2e5e8cae03b0095 |
completed | April 28, 2026, 7:29 a.m. |
Created at: April 17, 2026, 5:37 p.m.