Triple
T22551940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Facultad de Enfermería |
E557578
|
entity |
| Predicate | perteneceASistema |
P840
|
FINISHED |
| Object | sistema universitario público uruguayo |
—
|
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: sistema universitario público uruguayo | Statement: [Facultad de Enfermería, perteneceASistema, sistema universitario público uruguayo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: perteneceASistema Context triple: [Facultad de Enfermería, perteneceASistema, sistema universitario público uruguayo]
-
A.
isPartOfAccessSystem
Indicates that something functions as a component or element within a larger access control or access management system.
-
B.
partOfSystem
chosen
Indicates that one entity functions as a component or subsystem within the structure or organization of another entity.
-
C.
associatedSystem
Indicates that one entity is functionally or contextually linked to a particular system with which it interacts or to which it belongs.
-
D.
affiliationSystem
Indicates a formal connection between an entity and an organizational, institutional, or structural system with which it is associated or aligned.
-
E.
isPartOfRepresentationSystem
Indicates that one entity functions as a component or element within a broader representational system (such as a notation, coding scheme, or symbolic framework).
- 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_69e11e59db848190b4272ecd2b690ffd |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f7647208190a1aaebd083bf095a |
completed | April 29, 2026, 1:31 a.m. |
| PD | Predicate disambiguation | batch_69e898cb3fb48190add6ab24a2df5822 |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:52 p.m.