Triple

T2160284
Position Surface form Disambiguated ID Type / Status
Subject Loango National Park E47984 entity
Predicate locatedIn P40 FINISHED
Object western Gabon E8377 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: western Gabon | Statement: [Loango National Park, locatedIn, western Gabon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: western Gabon
Context triple: [Loango National Park, locatedIn, western Gabon]
  • A. Gabon chosen
    Gabon is a Central African country on the Atlantic coast, known for its equatorial rainforests, rich biodiversity, and significant oil reserves.
  • B. Upper Guinea
    Upper Guinea is a natural and historical region in eastern Guinea characterized by savanna landscapes and significant agricultural and mining activities.
  • C. Central Africa
    Central Africa is a subregion of the African continent that encompasses several landlocked and coastal countries characterized by vast rainforests, the Congo River basin, and significant cultural and linguistic diversity.
  • 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. Ewondo
    Ewondo is a Bantu language spoken primarily by the Ewondo people in central Cameroon, including in and around the capital city, Yaoundé.
  • 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_69a88a1d1fd8819088b34990d69a712f completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbe8894d481908eda9363fd36fea6 completed March 7, 2026, 5:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae58e9ceb08190871ff9c57ece23c0 completed March 9, 2026, 5:21 a.m.
Created at: March 4, 2026, 7:45 p.m.