Triple

T19145514
Position Surface form Disambiguated ID Type / Status
Subject Katsina-Ala E468668 entity
Predicate region P40 FINISHED
Object Middle Belt 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: Middle Belt | Statement: [Katsina-Ala, region, Middle Belt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Middle Belt
Context triple: [Katsina-Ala, region, Middle Belt]
  • A. Middle Belt chosen
    The Middle Belt is a culturally and ethnically diverse central region of Nigeria often seen as a transitional zone between the predominantly Muslim north and largely Christian south.
  • B. Central Nigeria
    Central Nigeria is a region in the middle of Nigeria known for its ethnic diversity, agricultural activities, and role as a geographic and cultural bridge between the country’s northern and southern areas.
  • C. North Central Nigeria
    North Central Nigeria is a geopolitical zone of Nigeria that includes the federal capital territory and several surrounding states in the country’s middle belt.
  • D. Central Savanna Province
    Central Savanna Province is an administrative subdivision of the Cundinamarca Department in central Colombia, encompassing municipalities in the highland savanna region around Bogotá.
  • E. Al Markaziyah
    Al Markaziyah is a central district in Abu Dhabi known for its dense mix of commercial, residential, and governmental buildings.
  • 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_69d8dd084ff48190ac0f8c46ee722629 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e978b0b481909a531efa030c5def completed April 20, 2026, 8:53 a.m.
Created at: April 10, 2026, 12:06 p.m.