Triple

T37834347
Position Surface form Disambiguated ID Type / Status
Subject Joinville Esporte Clube E943293 entity
Predicate stateCountry P115061 FINISHED
Object Santa Catarina, Brazil 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: Santa Catarina, Brazil | Statement: [Joinville Esporte Clube, stateCountry, Santa Catarina, Brazil]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: stateCountry
Context triple: [Joinville Esporte Clube, stateCountry, Santa Catarina, Brazil]
  • A. countryOrTerritory
    Indicates that one entity is a country or territory associated with, or characterized by, another entity.
  • B. stateOrRegion chosen
    Indicates that one entity is a state or region in which the other entity is located or with which it is associated.
  • C. countryOrRegion
    Indicates that one entity is a country or geographic region associated with another entity (such as its location, jurisdiction, or area of relevance).
  • D. stateName
    Indicates that an entity is identified by or associated with a particular state’s name.
  • E. stateOrTerritory
    Indicates that one entity is a state or territory that is politically or administratively associated with another entity.
  • 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_69f76eea4c8c8190a335aed5955cf2db completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69ff069ec1348190815375c5c9e38404 completed May 9, 2026, 10:04 a.m.
PD Predicate disambiguation batch_69ff05ba57f88190a45d20f18044e0fb completed May 9, 2026, 10 a.m.
Created at: May 3, 2026, 4:19 p.m.