Triple
T37088500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sistema de Administración Financiera Federal |
E918352
|
entity |
| Predicate | tipoDeRecurso |
P3729
|
FINISHED |
| Object | recursos presupuestarios federales |
—
|
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: recursos presupuestarios federales | Statement: [Sistema de Administración Financiera Federal, tipoDeRecurso, recursos presupuestarios federales]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tipoDeRecurso Context triple: [Sistema de Administración Financiera Federal, tipoDeRecurso, recursos presupuestarios federales]
-
A.
primaryResourceType
Indicates the main or predominant type/category of resource associated with an entity or activity.
-
B.
typeOfResourceStudied
Indicates that a particular resource is the subject or focus of study or analysis in a given context.
-
C.
typeOfInstitutionalResource
Indicates that one institutional resource is classified as a specific type or category of institutional resource.
-
D.
hasTypeOfResource
chosen
Indicates that an entity is associated with a specific category or kind of resource it represents or utilizes.
-
E.
contributingResourceType
Indicates the type or category of a resource that contributes to or supports another resource 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_69f76e9952b88190a6fe01ba01476520 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb55de3b9c8190a7656aeab3c3ffbc |
completed | May 6, 2026, 2:53 p.m. |
| PD | Predicate disambiguation | batch_69fb35bc92e08190bff447624e2df791 |
completed | May 6, 2026, 12:36 p.m. |
Created at: May 3, 2026, 4:14 p.m.