Triple

T8853250
Position Surface form Disambiguated ID Type / Status
Subject Wele-Nzas E210688 entity
Predicate bordersProvince P224 FINISHED
Object Kié-Ntem E755103 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: Kié-Ntem | Statement: [Wele-Nzas, bordersProvince, Kié-Ntem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kié-Ntem
Context triple: [Wele-Nzas, bordersProvince, Kié-Ntem]
  • A. Kié-Ntem
    Kié-Ntem is a province in mainland Equatorial Guinea known for its largely forested landscapes and border location with Cameroon and Gabon.
  • B. Kié-Ntem Province chosen
    Kié-Ntem Province is a northeastern province of Equatorial Guinea known for its border location with Cameroon and Gabon and its capital, Ebebiyín.
  • C. Ekondo-Titi
    Ekondo-Titi is a coastal town and commune in Cameroon's Southwest Region, known for its agricultural activities and location near the Ndian River and the Atlantic coast.
  • D. Benina
    Benina is a town in eastern Libya that serves as the main gateway to the nearby city of Benghazi through its international airport.
  • E. Ubangi-Shari
    Ubangi-Shari was the French colonial territory in central Africa that later became the independent nation of the Central African Republic.
  • 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_69ca838a424c8190b1ecac115c2927e7 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc60c55e348190957b3bbb7397e380 completed April 1, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc1c1488c8190ac7b6a13d3af8be6 completed April 3, 2026, 1:33 p.m.
Created at: March 30, 2026, 6:49 p.m.