Triple

T37778279
Position Surface form Disambiguated ID Type / Status
Subject Município de Santa Maria de Jetibá E941749 entity
Predicate atividadeEconômica P1099 FINISHED
Object agricultura 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: agricultura | Statement: [Município de Santa Maria de Jetibá, atividadeEconômica, agricultura]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: atividadeEconômica
Context triple: [Município de Santa Maria de Jetibá, atividadeEconômica, agricultura]
  • A. hasEconomicActivity chosen
    Indicates that an entity engages in, supports, or is associated with a specific type of economic activity or business operation.
  • B. regionalEconomyActivity
    Indicates the type or level of economic activity occurring within a specific geographic region.
  • C. economicSectors
    Indicates a relationship that associates entities with the economic sectors or industries in which they operate or to which they belong.
  • D. economicFunction
    Indicates the role or purpose an entity serves within an economic system, such as how it contributes to production, distribution, or consumption of goods and services.
  • E. economicExtensionOf
    Indicates that one entity’s economy is heavily dependent on, controlled by, or functions as an outgrowth of another entity’s economic 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_69f76ee4431881908f87e8892a9f39f3 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fbaf45bd40819090879114ec90db3e completed May 6, 2026, 9:14 p.m.
PD Predicate disambiguation batch_69fbadf632ec8190b14991c971258307 completed May 6, 2026, 9:09 p.m.
Created at: May 3, 2026, 4:19 p.m.