Triple
T28551935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ministério do Ambiente e da Ação Climática |
E722909
|
entity |
| Predicate | tipoDeOrganização |
P3580
|
FINISHED |
| Object | ministério |
—
|
NE NERFINISHED |
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: ministério | Statement: [Ministério do Ambiente e da Ação Climática, tipoDeOrganização, ministério]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tipoDeOrganização Context triple: [Ministério do Ambiente e da Ação Climática, tipoDeOrganização, ministério]
-
A.
organizationType
chosen
Indicates the specific category or classification of an organization in terms of its nature, structure, or primary function.
-
B.
collectiveOrganizationType
Indicates the specific kind or category of collective organization that an entity belongs to or is classified as.
-
C.
typeOfOrganizationProcess
Indicates that a process is classified as belonging to or characteristic of a particular type of organization.
-
D.
modeOfOrganization
Indicates the way in which an entity, group, or activity is structured, arranged, or organized.
-
E.
typeOfBusinessOrganization
Indicates the specific kind or category of business organization that an entity belongs to (e.g., corporation, partnership, sole proprietorship).
- 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_69f01a60204481909af1bb76247b8221 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f65a6c900881908f18b61273d7bf8d |
completed | May 2, 2026, 8:11 p.m. |
| PD | Predicate disambiguation | batch_69f659ce58408190ba9e007b4810d4d0 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 28, 2026, 3:43 a.m.