Triple
T35888179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grado en Bioingeniería (in collaboration with Escuela Politécnica Superior) |
E1037708
|
entity |
| Predicate | integratesTrainingIn |
P181838
|
FINISHED |
| Object | Medicine |
—
|
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: Medicine | Statement: [Grado en Bioingeniería (in collaboration with Escuela Politécnica Superior), integratesTrainingIn, Medicine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: integratesTrainingIn Context triple: [Grado en Bioingeniería (in collaboration with Escuela Politécnica Superior), integratesTrainingIn, Medicine]
-
A.
combinesTrainingIn
chosen
Indicates that an entity integrates or unifies multiple forms or sources of training into a single combined training process or program.
-
B.
trainingIn
Indicates that one entity is undergoing or receiving training within the context, program, or domain specified by another entity.
-
C.
providesTrainingFor
Indicates that one entity delivers or conducts training activities intended to develop the skills or knowledge of another entity.
-
D.
trainingComponent
Indicates that one entity functions as a training-related part, module, or element within a larger training process or system involving another entity.
-
E.
trainingContribution
Indicates that an entity contributes to, participates in, or provides resources for a training process or activity.
- 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_69f76e1f4d748190bb55594d8441d70e |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7ac23d1388190bdf9628b294943bd |
completed | May 3, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69f7ab734d848190a84f9b8c3a952b75 |
completed | May 3, 2026, 8:09 p.m. |
Created at: May 3, 2026, 4:06 p.m.