Triple

T12387417
Position Surface form Disambiguated ID Type / Status
Subject Orlu E295901 entity
Predicate hasNearbyCity P350 FINISHED
Object Nnewi E587047 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: Nnewi | Statement: [Orlu, hasNearbyCity, Nnewi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nnewi
Context triple: [Orlu, hasNearbyCity, Nnewi]
  • A. Nnewi chosen
    Nnewi is a major commercial and industrial city in southeastern Nigeria, renowned for its vibrant automotive parts manufacturing and trade.
  • B. Owerri
    Owerri is the capital and largest city of Imo State in southeastern Nigeria, known as a regional cultural and commercial center.
  • C. Arochukwu
    Arochukwu is a historic town in southeastern Nigeria known as an important cultural and political center of the Igbo people and the former Aro Confederacy.
  • D. 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.
  • E. 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.
  • 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_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d93fbd489c819098233a111442762e completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af41f6b88190ba3a0b4d531853d7 completed May 3, 2026, 2:13 a.m.
Created at: April 8, 2026, 9:54 p.m.