Triple

T6276690
Position Surface form Disambiguated ID Type / Status
Subject Mende E140677 entity
Predicate diaspora P2103 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: [Mende, diaspora, Liberia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liberia
Context triple: [Mende, diaspora, 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. 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.
  • E. Central African Republic
    The Central African Republic is a landlocked, resource-rich but politically unstable country in Central Africa that has experienced recurrent conflict and humanitarian crises.
  • 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_69c008cc158881908df6ec94a911c736 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063d96fbc8190a9091456b82762d1 completed March 22, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c640a7ef8881909b00ce1f479f0fb4 completed March 27, 2026, 8:32 a.m.
Created at: March 22, 2026, 4:26 p.m.