Triple

T6992320
Position Surface form Disambiguated ID Type / Status
Subject GNB E162113 entity
Predicate represents P129 FINISHED
Object Guinea-Bissau E31850 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: Guinea-Bissau | Statement: [GNB, represents, Guinea-Bissau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guinea-Bissau
Context triple: [GNB, represents, 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. 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.
  • D. 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.
  • E. Burkina Faso
    Burkina Faso is a landlocked West African country known for its diverse cultures, Sahelian landscapes, and capital city, Ouagadougou.
  • 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_69c68856d7808190ab33ee914640281b completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dbc1f63c8190837cfd71cf5ed613 completed March 27, 2026, 7:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69c76a161f088190bbc3c4e2815fa929 completed March 28, 2026, 5:41 a.m.
Created at: March 27, 2026, 2:32 p.m.