Triple
T25856834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maringá |
E651371
|
entity |
| Predicate | hasPublicPolicyFocus |
P7262
|
FINISHED |
| Object | urban environmental management |
—
|
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: urban environmental management | Statement: [Maringá, hasPublicPolicyFocus, urban environmental management]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPublicPolicyFocus Context triple: [Maringá, hasPublicPolicyFocus, urban environmental management]
-
A.
policyFocus
Indicates that an entity (such as a person, organization, or document) is primarily concerned with, directed toward, or centered on a particular policy area or issue.
-
B.
hasPolicyArea
chosen
Indicates that an entity (such as a policy, program, or initiative) is associated with or pertains to a specific policy area or domain.
-
C.
hasPolicyInterestOf
Indicates that one entity holds or is associated with a specific policy interest belonging to or concerning another entity.
-
D.
hasPolicyInitiative
Indicates that an entity (such as an organization or government body) undertakes, sponsors, or is responsible for a specific policy initiative or program.
-
E.
hasPolicyGoal
Indicates that an entity is associated with, or aims to achieve, a specific policy objective or target.
- 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_69e7ab39035c8190be15c8aaee1bb858 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6430a93a48190854ce71df680b2fa |
completed | May 2, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69f641da05b881909f6283c988639c53 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 22, 2026, 8 a.m.