Triple
T22551918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Facultad de Enfermería |
E557578
|
entity |
| Predicate | areaPrincipal |
P19488
|
FINISHED |
| Object | enfermería |
—
|
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: enfermería | Statement: [Facultad de Enfermería, areaPrincipal, enfermería]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: areaPrincipal Context triple: [Facultad de Enfermería, areaPrincipal, enfermería]
-
A.
area
Indicates that one entity has a measured two-dimensional extent or surface size quantified by another entity.
-
B.
primaryArea
chosen
Indicates that one entity is the main or most important area, domain, or field associated with another entity.
-
C.
areaComponent
Indicates that one area is a constituent or sub-area that forms part of a larger area.
-
D.
primaryUseArea
Indicates the main functional area or domain in which an entity is primarily used or applied.
-
E.
coreAreaOf
Indicates that one entity is the central, primary, or most important area or domain of focus for another entity.
- 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.