Triple

T7614693
Position Surface form Disambiguated ID Type / Status
Subject Sal (Cape Verde) E172331 entity
Predicate governingCountryCapital P204 FINISHED
Object Praia E69996 NE 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: Praia | Statement: [Sal (Cape Verde), governingCountryCapital, Praia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Praia
Context triple: [Sal (Cape Verde), governingCountryCapital, Praia]
  • A. Praia chosen
    Praia is the capital and largest city of Cape Verde, located on the southern coast of Santiago Island in the central Atlantic Ocean.
  • B. Praia Gonçalo
    Praia Gonçalo is a small coastal village on the island of Maio in Cape Verde, known for its quiet beaches and traditional island lifestyle.
  • C. Praia Dona Ana
    Praia Dona Ana is a picturesque, cliff-backed sandy beach in the Algarve region of southern Portugal, renowned for its clear waters and dramatic rock formations.
  • D. Praia Grande
    Praia Grande is a coastal city in southeastern Brazil known for its extensive urban beaches and role as a major seaside destination in the state of São Paulo.
  • E. Porto das Dunas
    Porto das Dunas is a popular beach and resort area in Aquiraz, Ceará, Brazil, known for its extensive sandy shoreline, seaside hotels, and the Beach Park water park complex.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c6994f50808190ba228764bb422417 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fa4392e881908ed1ab3f64b41600 completed March 27, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8686d16808190bc431c43c0928f6e completed March 28, 2026, 11:46 p.m.
Created at: March 27, 2026, 3:55 p.m.