Triple

T23127255
Position Surface form Disambiguated ID Type / Status
Subject Gama, Federal District, Brazil E577064 entity
Predicate hasSubdivision P747 FINISHED
Object Setor Leste NE NERFINISHED

How this triple was built (3 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: Setor Leste | Statement: [Gama, Federal District, Brazil, hasSubdivision, Setor Leste]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Setor Leste
Context triple: [Gama, Federal District, Brazil, hasSubdivision, Setor Leste]
  • A. Sangre Grande region
    Sangre Grande region is an administrative area in northeastern Trinidad and Tobago known for its mix of rural communities, coastal landscapes, and agricultural activity.
  • B. Werdenberg region
    The Werdenberg region is an area in the canton of St. Gallen in eastern Switzerland, known for its historic town of Werdenberg and its scenic Alpine and Rhine Valley landscapes.
  • C. Litoral Central
    Litoral Central is a coastal region of central Chile known for its beaches, seaside towns, and tourism-oriented communities such as Puchuncaví.
  • D. Litoral Central
    Litoral Central is a coastal region of Venezuela that includes key urban and port areas near Caracas and serves as an important transportation hub.
  • E. Oeste Subregion
    Oeste Subregion is an administrative and statistical region in western Portugal known for its coastal landscapes, agriculture, and growing urban centers within the Lisbon metropolitan area.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Setor Leste
Target entity description: Setor Leste is a neighborhood-level subdivision within the administrative region of Gama in Brazil’s Federal District.
  • A. Sangre Grande region
    Sangre Grande region is an administrative area in northeastern Trinidad and Tobago known for its mix of rural communities, coastal landscapes, and agricultural activity.
  • B. Werdenberg region
    The Werdenberg region is an area in the canton of St. Gallen in eastern Switzerland, known for its historic town of Werdenberg and its scenic Alpine and Rhine Valley landscapes.
  • C. Litoral Central
    Litoral Central is a coastal region of central Chile known for its beaches, seaside towns, and tourism-oriented communities such as Puchuncaví.
  • D. Litoral Central
    Litoral Central is a coastal region of Venezuela that includes key urban and port areas near Caracas and serves as an important transportation hub.
  • E. Oeste Subregion
    Oeste Subregion is an administrative and statistical region in western Portugal known for its coastal landscapes, agriculture, and growing urban centers within the Lisbon metropolitan area.
  • F. None of above. chosen

Provenance (2 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_69e245f7b0e481909c473ff4e6a54e2c completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e55aa38819092816ffc52e20dbe completed April 29, 2026, 4:51 a.m.
Created at: April 17, 2026, 3:59 p.m.