Triple

T16319515
Position Surface form Disambiguated ID Type / Status
Subject The Gambia E396253 entity
Predicate country P26 FINISHED
Object The Gambia E41541 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: The Gambia | Statement: [The Gambia, country, The Gambia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Gambia
Context triple: [The Gambia, country, The Gambia]
  • A. The Gambia chosen
    The Gambia is a small West African country centered around the Gambia River, known for its diverse ecosystems, colonial history, and tourism-focused economy.
  • B. 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.
  • C. Senegambia
    Senegambia is a historical region in West Africa encompassing present-day Senegal and The Gambia, known for its rich cultural diversity, early Islamic influence, and role in trans-Saharan and Atlantic trade.
  • D. Guinea-Bissau
    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.
  • E. Guinea
    Guinea is a West African country on the Atlantic coast known for its rich mineral resources, diverse ethnic groups, and role as a major producer of bauxite.
  • 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_69d87f255b788190a400eba031dd85d8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e296b4ad448190b2b195a5e0032c6e completed April 17, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a002da6e6e08190a20cc51699e12dbc completed May 10, 2026, 7:03 a.m.
Created at: April 10, 2026, 5:06 a.m.