Triple
T34658325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Consejo de Educación Superior de Ecuador |
E890041
|
entity |
| Predicate | tipoOrganismo |
P98577
|
FINISHED |
| Object | organismo de regulación |
—
|
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: organismo de regulación | Statement: [Consejo de Educación Superior de Ecuador, tipoOrganismo, organismo de regulación]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tipoOrganismo Context triple: [Consejo de Educación Superior de Ecuador, tipoOrganismo, organismo de regulación]
-
A.
tipoDeOrganismo
chosen
Indicates that one entity is classified as a specific type or category of organism in relation to another.
-
B.
organismType
Indicates the biological classification or kind of organism that an entity is.
-
C.
speciesType
Indicates the specific biological species category to which an entity belongs.
-
D.
taxonType
Indicates the biological or taxonomic rank/category that characterizes a given taxon.
-
E.
targetOrganism
Indicates that an action, process, or effect is directed toward or intended to impact a particular organism.
- 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_69f349d906bc8190b2efd9eff237d94b |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f722cb433c81909bf0058b5845f5c2 |
completed | May 3, 2026, 10:26 a.m. |
| PD | Predicate disambiguation | batch_69f72157af108190880317a62e634bb0 |
completed | May 3, 2026, 10:20 a.m. |
Created at: May 1, 2026, 2:04 a.m.