Triple

T14050948
Position Surface form Disambiguated ID Type / Status
Subject Apa E338086 entity
Predicate state P87 FINISHED
Object Benue State 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: Benue State | Statement: [Apa, state, Benue State]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Benue State
Context triple: [Apa, state, Benue State]
  • A. Benue State chosen
    Benue State is a predominantly agricultural state in central Nigeria, often called the "Food Basket of the Nation" for its major role in the country’s crop production.
  • B. Benue-Plateau State
    Benue-Plateau State was a former administrative region in central Nigeria that existed from 1967 until it was split in 1976 into Benue and Plateau States.
  • C. Niger State
    Niger State is a large, predominantly agricultural state in central Nigeria, known for the Kainji Dam, Gurara Falls, and its role as a major power-generating region.
  • D. Cross River State
    Cross River State is a coastal state in southeastern Nigeria known for its rich biodiversity, rainforest reserves, and the city of Calabar, a major cultural and tourism hub.
  • E. Bauchi State
    Bauchi State is a largely agrarian and culturally diverse state in northeastern Nigeria, known for its savanna landscapes and historical significance in the region.
  • 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_69d81c664e48819088cbd8f433aeffe5 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de3c8a518081908ad030ba48b7b946 completed April 14, 2026, 1:09 p.m.
Created at: April 9, 2026, 10:20 p.m.