Triple

T18366028
Position Surface form Disambiguated ID Type / Status
Subject Fang communities of Equatorial Guinea E440047 entity
Predicate subgroup P10 FINISHED
Object Okak NE NERFINISHED

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: Okak | Statement: [Fang communities of Equatorial Guinea, subgroup, Okak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Okak
Context triple: [Fang communities of Equatorial Guinea, subgroup, Okak]
  • A. Okak chosen
    Okak is a dialectal variety of the Fang language spoken by Fang communities in Central Africa.
  • B. Aokas
    Aokas is a coastal town in northern Algeria known for its Mediterranean beaches, karst caves, and location along the scenic shoreline of Béjaïa Province.
  • C. Okakarara
    Okakarara is a small town in central Namibia known for its role in Herero history and as a local agricultural and trading center.
  • D. Oku
    Oku is a town and traditional kingdom in Cameroon's Northwest Region, known for its rich cultural heritage, mountainous landscape, and production of Oku white honey.
  • E. Okoa
    Okoa is a small island located within the Vavaʻu island group in the Kingdom of Tonga, known for its tropical marine environment.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b918221c8190a9f7b563d64ac677 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5174e834481909453ba25561d1b1d completed April 19, 2026, 5:56 p.m.
Created at: April 10, 2026, 10:38 a.m.