Triple

T37777555
Position Surface form Disambiguated ID Type / Status
Subject Município de Caxias do Sul E941728 entity
Predicate hasEconomicRanking P17688 FINISHED
Object among the most industrialized municipalities in Rio Grande do Sul 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: among the most industrialized municipalities in Rio Grande do Sul | Statement: [Município de Caxias do Sul, hasEconomicRanking, among the most industrialized municipalities in Rio Grande do Sul]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasEconomicRanking
Context triple: [Município de Caxias do Sul, hasEconomicRanking, among the most industrialized municipalities in Rio Grande do Sul]
  • A. hasEconomyRankContext chosen
    Indicates the contextual basis or framework within which an entity’s economy rank is defined, interpreted, or compared.
  • B. hasEconomicLevel
    Indicates that one entity possesses, is classified by, or is associated with a particular economic status or level.
  • C. hasEconomicPosition
    Indicates that an entity holds a particular role, status, or standing within an economic system or structure.
  • D. wealthRanking
    Indicates the relative ordering of entities based on their level of wealth or financial resources.
  • E. hasEconomicDimension
    Indicates that something involves, affects, or is characterized by economic factors, considerations, or consequences.
  • 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_69fbaf443e5c8190bfaf3e00ced78a30 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.