Triple

T2614918
Position Surface form Disambiguated ID Type / Status
Subject Akwa Ibom State E58864 entity
Predicate largestCity P235 FINISHED
Object Uyo E87285 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: Uyo | Statement: [Akwa Ibom State, largestCity, Uyo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uyo
Context triple: [Akwa Ibom State, largestCity, Uyo]
  • A. Uyo chosen
    Uyo is the capital city of Akwa Ibom State in southeastern Nigeria, known as an administrative, commercial, and cultural center in the region.
  • B. Yenagoa
    Yenagoa is the capital city of Bayelsa State in southern Nigeria, located in the oil-rich Niger Delta region.
  • C. Benin City
    Benin City is a major urban center in southern Nigeria, historically known as the capital of the ancient Benin Kingdom and renowned for its rich cultural heritage and bronze artworks.
  • D. Bauchi
    Bauchi is a prominent city in northeastern Nigeria that serves as the capital of Bauchi State and a key commercial and administrative center in the region.
  • E. Onitsha
    Onitsha is a major commercial and river port city on the eastern bank of the Niger River in southeastern Nigeria, known for its large open-air market and vibrant trade.
  • 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_69ab4ac444dc819099614e534dd6021f completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd87fb87c819093b02c67c76d51fd completed March 7, 2026, 7:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69af90817f8c81908c3792bd406c5ce6 completed March 10, 2026, 3:31 a.m.
Created at: March 6, 2026, 9:50 p.m.