Triple
T24963409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Praia de Maceió |
E624670
|
entity |
| Predicate | nivelDeUrbanizacao |
P9969
|
FINISHED |
| Object | pouco urbanizada |
—
|
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: pouco urbanizada | Statement: [Praia de Maceió, nivelDeUrbanizacao, pouco urbanizada]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nivelDeUrbanizacao Context triple: [Praia de Maceió, nivelDeUrbanizacao, pouco urbanizada]
-
A.
urbanizationLevel
chosen
Indicates the degree to which an area or population is characterized by urban development, infrastructure, and density of human settlement.
-
B.
isUrbanized
Indicates that a place or area has been developed with dense human settlement, infrastructure, and built environment characteristic of a city or town.
-
C.
urbanPlanningLevel
Indicates the degree or quality of planning, organization, and regulation applied to the development and use of urban spaces.
-
D.
cityLevel
Indicates the administrative or hierarchical rank of a city within a broader regional or national structure.
-
E.
urbanHierarchy
Indicates a hierarchical relationship among urban areas, such as cities or towns, where one is ranked or positioned above or below another in an urban system.
- 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_69e2ff23a3a88190b1b9743fe5e15f94 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f4242f0968819098c3f0f92054d22f |
completed | May 1, 2026, 3:55 a.m. |
| PD | Predicate disambiguation | batch_69f4210130d08190ae30b7943f7a0bbc |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 5:59 a.m.