Triple

T2887188
Position Surface form Disambiguated ID Type / Status
Subject Cross River State E59533 entity
Predicate hasMajorLanguage P207 FINISHED
Object Efik E57805 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: Efik | Statement: [Cross River State, hasMajorLanguage, Efik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Efik
Context triple: [Cross River State, hasMajorLanguage, Efik]
  • A. Dumebi
    Dumebi is a popular Afrobeats hit song by Nigerian singer Rema that helped launch him to international prominence.
  • B. Ahiazu Mbaise
    Ahiazu Mbaise is a local government area in southeastern Nigeria known for its predominantly Igbo population and rich cultural traditions.
  • C. Ifewara
    Ifewara is a notable town in southwestern Nigeria associated with the Ijesha people and culture.
  • D. Nkwerre
    Nkwerre is a town and local government area in southeastern Nigeria known for its location within Imo State and its cultural and commercial activities.
  • E. Efik people chosen
    The Efik people are a coastal West African ethnic group of southeastern Nigeria known historically as influential traders, cultural intermediaries, and custodians of rich artistic and linguistic traditions.
  • 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_69ab4ac739188190a112f42a5a69c951 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abe047aa7c8190a0ed570c13f3a1a2 completed March 7, 2026, 8:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69b055f2d72c8190b81b2b0b3093ae57 completed March 10, 2026, 5:33 p.m.
Created at: March 6, 2026, 10:03 p.m.