Triple

T3024329
Position Surface form Disambiguated ID Type / Status
Subject Southern Nigeria E82540 entity
Predicate contains P35 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: [Southern Nigeria, contains, Uyo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uyo
Context triple: [Southern Nigeria, contains, 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. Ekpoma
    Ekpoma is a prominent town in southern Nigeria known for hosting Ambrose Alli University and serving as an important educational and commercial center in Edo State.
  • C. Yenagoa
    Yenagoa is the capital city of Bayelsa State in southern Nigeria, located in the oil-rich Niger Delta region.
  • D. 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.
  • E. 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.
  • 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_69ad8b1fb34081908c1b873e2b7273e1 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9abac0288190a30b42674eea501f completed March 8, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1deb342008190bec8fbaa4074d40c completed March 11, 2026, 9:29 p.m.
Created at: March 8, 2026, 3 p.m.