Triple

T21077202
Position Surface form Disambiguated ID Type / Status
Subject CFA E519268 entity
Predicate usedIn P98 FINISHED
Object Guinea-Bissau 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: Guinea-Bissau | Statement: [CFA, usedIn, Guinea-Bissau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guinea-Bissau
Context triple: [CFA, usedIn, Guinea-Bissau]
  • A. Guinea-Bissau chosen
    Guinea-Bissau is a small West African country on the Atlantic coast, known for its Portuguese colonial heritage, diverse ethnic groups, and fragile political system.
  • B. The Gambia
    The Gambia is a small West African country centered around the Gambia River, known for its diverse ecosystems, colonial history, and tourism-focused economy.
  • C. Republic of Guinea
    The Republic of Guinea is a West African country rich in natural resources, particularly bauxite, with a predominantly Muslim population and a history of French colonial rule.
  • D. São Tomé and Príncipe
    São Tomé and Príncipe is a small Portuguese-speaking island nation in the Gulf of Guinea off Central Africa, known for its tropical climate, biodiversity, and cocoa production.
  • E. Senegal
    Senegal is a West African country on the Atlantic coast known for its vibrant culture, historic role in transatlantic trade, and diverse coastal and Sahelian landscapes.
  • 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_69e0b506e59c8190849b71ed07929215 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e702d77b8081908ecfb05ab391fd39 completed April 21, 2026, 4:53 a.m.
Created at: April 16, 2026, 2:49 p.m.