Triple

T11578322
Position Surface form Disambiguated ID Type / Status
Subject Atlantic languages E274561 entity
Predicate spokenIn P2266 FINISHED
Object Liberia E6007 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: Liberia | Statement: [Atlantic languages, spokenIn, Liberia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liberia
Context triple: [Atlantic languages, spokenIn, Liberia]
  • A. Liberia chosen
    Liberia is a West African nation founded by formerly enslaved people from the United States, known for being Africa’s first modern republic and maintaining close historical ties with the U.S.
  • B. Liberia
    Liberia is a city in northwestern Costa Rica that serves as the capital of Guanacaste Province and a major gateway to Pacific beaches and nearby national parks.
  • C. Sierra Leone
    Sierra Leone is a West African nation on the Atlantic coast, known for its diamond resources, diverse cultures, and history as a center for freed slaves.
  • D. 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.
  • 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_69d6aae5ac3c81908d2b0a3a665665b2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8904b46288190890ecafd6ceb0c3d completed April 10, 2026, 5:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69e8a78d80448190a93ca0ebfbd7e3a4 completed April 22, 2026, 10:48 a.m.
Created at: April 8, 2026, 9:38 p.m.