Triple

T17093244
Position Surface form Disambiguated ID Type / Status
Subject Guéckédou E414775 entity
Predicate partOf P40 FINISHED
Object Republic of Guinea E784660 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: Republic of Guinea | Statement: [Guéckédou, partOf, Republic of Guinea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Republic of Guinea
Context triple: [Guéckédou, partOf, Republic of Guinea]
  • A. Republic of Guinea chosen
    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.
  • B. La Guinea
    La Guinea is a small settlement located on Isla del Rey in Spain’s Balearic Islands.
  • C. Republic of Niger
    The Republic of Niger is a landlocked West African country known for its vast Sahara Desert landscapes, predominantly Muslim population, and economy heavily reliant on agriculture and uranium mining.
  • D. Burkina Faso
    Burkina Faso is a landlocked West African country known for its diverse cultures, Sahelian landscapes, and capital city, Ouagadougou.
  • E. Mali
    Mali is a landlocked West African country known for its historic trading cities like Timbuktu, rich Sahelian culture, and significant role in the ancient Mali Empire.
  • 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_69d886cfc8e88190b05ba466edd35591 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbfb89348190942984037bd3bd2e completed April 18, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a015fbe1d4c81909ce7e4626516b51d completed May 11, 2026, 4:49 a.m.
Created at: April 10, 2026, 5:35 a.m.