Triple

T4669790
Position Surface form Disambiguated ID Type / Status
Subject São Vicente E102933 entity
Predicate hasCity P316 FINISHED
Object Mindelo E460734 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: Mindelo | Statement: [São Vicente, hasCity, Mindelo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mindelo
Context triple: [São Vicente, hasCity, Mindelo]
  • A. Mindelo chosen
    Mindelo is the main port city and cultural hub of the Cape Verdean island of São Vicente, known for its vibrant music scene and colorful colonial architecture.
  • B. Beira
    Beira is a major port city in central Mozambique, serving as a key commercial and transport hub for the region.
  • C. Lourenço Marques
    Lourenço Marques is the former name of Maputo, the capital city and main port of Mozambique.
  • D. Beira (Portugal)
    Beira is a historical region in central Portugal known for its mountainous landscapes, fortified towns, and role as a traditional territorial division of the country.
  • E. Praia
    Praia is the capital and largest city of Cape Verde, located on the southern coast of Santiago Island in the central Atlantic Ocean.
  • 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_69bd43d9cba4819086c1ab1c2d9d2133 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd634ef5608190925663e988e3585b completed March 20, 2026, 3:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69be39c275a88190a65ceb1586257d1e completed March 21, 2026, 6:25 a.m.
Created at: March 20, 2026, 1:15 p.m.