Triple

T22431411
Position Surface form Disambiguated ID Type / Status
Subject Seridó Oriental microregion E554507 entity
Predicate hasMunicipality P847 FINISHED
Object Jardim do Seridó 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: Jardim do Seridó | Statement: [Seridó Oriental microregion, hasMunicipality, Jardim do Seridó]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jardim do Seridó
Context triple: [Seridó Oriental microregion, hasMunicipality, Jardim do Seridó]
  • A. Jardim do Seridó chosen
    Jardim do Seridó is a municipality in the state of Rio Grande do Norte, Brazil, known for its semi-arid landscape and traditional cultural and religious festivities.
  • B. Jardim Planalto
    Jardim Planalto is a metro station on São Paulo’s Line 15–Silver monorail system in Brazil.
  • C. Parque Florestal de Barão de São João
    Parque Florestal de Barão de São João is a forest park in the Algarve region of southern Portugal, known for its walking trails, natural landscapes, and recreational outdoor activities.
  • D. Parque da Jaqueira
    Parque da Jaqueira is a popular urban park in Recife, Brazil, known for its extensive green areas, recreational facilities, and walking and cycling paths.
  • E. Jardim Silveira
    Jardim Silveira is a neighborhood within the municipality of Barueri in the São Paulo metropolitan region of Brazil.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e11e4f2d0c819091aa3558ea2ee630 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15a32139481909baaf9275f5e0257 completed April 29, 2026, 1:09 a.m.
Created at: April 16, 2026, 8:47 p.m.