Triple

T23097114
Position Surface form Disambiguated ID Type / Status
Subject Norte Region of Recife E575921 entity
Predicate hasNeighborhood P40 FINISHED
Object Guabiraba 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: Guabiraba | Statement: [Norte Region of Recife, hasNeighborhood, Guabiraba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guabiraba
Context triple: [Norte Region of Recife, hasNeighborhood, Guabiraba]
  • A. Guabiraba chosen
    Guabiraba is a neighborhood and administrative district located in the northern part of Recife, in the state of Pernambuco, Brazil.
  • B. Cuabo
    Cuabo is an alternative name for the Chuwabu language spoken in parts of Mozambique.
  • C. Sibanicú
    Sibanicú is a small municipality and town located in central Cuba within Camagüey Province, known for its agricultural activities and rural character.
  • D. Mataraca
    Mataraca is a municipality in the state of Paraíba, in Brazil’s Northeast region, known for its coastal location and inclusion in the Mamanguape River area.
  • E. Waspe
    Waspe is a hot-tempered, comically irritable servant character in Ben Jonson’s play "Bartholomew Fair," known for his blustering loyalty and frequent outbursts.
  • 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_69e245c060b48190a9bd61a47a16db17 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18de61c7c8190809920fa1071935f completed April 29, 2026, 4:49 a.m.
Created at: April 17, 2026, 3:57 p.m.