Triple

T11556023
Position Surface form Disambiguated ID Type / Status
Subject Ghana Prisons Service E274019 entity
Predicate usesLanguage P238 FINISHED
Object Akan E54191 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: Akan | Statement: [Ghana Prisons Service, usesLanguage, Akan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Akan
Context triple: [Ghana Prisons Service, usesLanguage, 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. Akena
    Akena is a Ugandan surname notably borne by politician Jimmy Akena, associated with the country’s contemporary political landscape.
  • C. Ayan
    Ayan is a 2009 Tamil-language action thriller film starring Suriya, known for its smuggling-centric plot and commercial success.
  • D. Anawan
    Anawan was a Wampanoag war leader who became prominent during King Philip’s War as a key Native American commander against English colonial forces.
  • E. Asaka
    Asaka is a Japanese noble family name historically associated with a collateral branch of the Imperial Family, including Prince Asaka Yasuhiko.
  • 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_69d6aae4dfa48190a3ab0b19a159a3c5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d88a86be308190973fea5d7db8ba9d completed April 10, 2026, 5:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6e865c3008190bc2f04a1048f2fed completed April 21, 2026, 3 a.m.
Created at: April 8, 2026, 9:37 p.m.