Triple

T23130119
Position Surface form Disambiguated ID Type / Status
Subject Elubo E577142 entity
Predicate languageUsed P238 FINISHED
Object Akan 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: Akan | Statement: [Elubo, languageUsed, Akan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Akan
Context triple: [Elubo, languageUsed, Akan]
  • A. Akan chosen
    Akan is a major Central Tano language spoken primarily in Ghana and parts of Côte d’Ivoire, serving as a key lingua franca and cultural language for the Akan people.
  • B. Akan
    Akan is a region in eastern Hokkaido, Japan, renowned for its volcanic landscapes, crater lakes, and rich Ainu cultural heritage.
  • C. Akena
    Akena is a Ugandan surname notably borne by politician Jimmy Akena, associated with the country’s contemporary political landscape.
  • D. Osanobua
    Osanobua is the supreme creator god and central deity in the traditional religion and cosmology of the Edo people of Nigeria.
  • E. Ayan
    Ayan is a remote settlement in Russia’s Khabarovsk Krai, known as a small port village on the Sea of Okhotsk.
  • 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_69e245f7b0e481909c473ff4e6a54e2c completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e8671f48190887e57d5723e49c1 completed April 29, 2026, 4:52 a.m.
Created at: April 17, 2026, 4 p.m.