Triple

T784889
Position Surface form Disambiguated ID Type / Status
Subject Cape Verde Islands E16579 entity
Predicate capital P234 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: [Cape Verde Islands, capital, Praia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Praia
Context triple: [Cape Verde Islands, capital, 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 da Terra Estreita
    Praia da Terra Estreita is a tranquil, narrow sandbank beach on Tavira Island in Portugal’s Algarve region, known for its peaceful atmosphere and access by boat.
  • C. Ponta da Piedade
    Ponta da Piedade is a famous coastal rock formation and viewpoint near Lagos in Portugal, known for its dramatic cliffs, sea caves, and turquoise waters.
  • D. Praia dos Pescadores
    Praia dos Pescadores is a popular central beach in Albufeira, Portugal, known for its golden sand, fishing-boat heritage, and proximity to the old town.
  • E. Praia da Oura
    Praia da Oura is a popular sandy beach in Portugal’s Algarve region, known for its lively atmosphere, golden cliffs, and proximity to the resort town of Albufeira.
  • 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_69a4936ad1fc81908f190208059ccf78 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a76b0d6c8190a09b1a0bd4a6eeec completed March 1, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69a76d7c2d488190a0c1802eb7c7491d completed March 3, 2026, 11:23 p.m.
Created at: March 1, 2026, 7:37 p.m.