Triple

T6106133
Position Surface form Disambiguated ID Type / Status
Subject South Region E136121 entity
Predicate country P26 FINISHED
Object Cameroon E24780 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: Cameroon | Statement: [South Region, country, Cameroon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cameroon
Context triple: [South Region, country, Cameroon]
  • A. Cameroon chosen
    Cameroon is a Central African country known for its cultural and linguistic diversity, varied geography from coast to rainforest and savanna, and a mixed French-English colonial heritage.
  • B. Gabon
    Gabon is a Central African country on the Atlantic coast, known for its equatorial rainforests, rich biodiversity, and significant oil reserves.
  • C. 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.
  • D. Equatorial Guinea
    Equatorial Guinea is a small Central African country on the Atlantic coast, known for its significant oil reserves and unique status as the only African nation where Spanish is an official language.
  • E. Republic of the Congo
    The Republic of the Congo is a Central African nation along the Atlantic coast, known for its vast tropical rainforests, rich biodiversity, and significant oil and mineral resources.
  • 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_69c0087dee9881909e3655be88208c01 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05b7ee8b48190b87f5ec8a46d6e2d completed March 22, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c125019b188190ac8c6a9bdc3a4e53 completed March 23, 2026, 11:33 a.m.
Created at: March 22, 2026, 4:13 p.m.