Triple

T12387620
Position Surface form Disambiguated ID Type / Status
Subject Onuimo E295907 entity
Predicate hasSettlement P1068 FINISHED
Object Okwe E979482 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: Okwe | Statement: [Onuimo, hasSettlement, Okwe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Okwe
Context triple: [Onuimo, hasSettlement, Okwe]
  • A. Okwe chosen
    Okwe is a town in Imo State, southeastern Nigeria, known as the administrative center of the Onuimo local government area.
  • B. Okwe
    Okwe is the resourceful Nigerian immigrant protagonist of the 2002 British thriller film "Dirty Pretty Things," who works illegally in London and uncovers a grim organ-trafficking scheme.
  • C. Okpe
    Okpe is one of the principal subgroups of the Urhobo people of southern Nigeria, known for its distinct cultural identity and traditional institutions.
  • D. Ogwumike
    Ogwumike is a Nigerian surname most prominently associated with a family of professional basketball players, including WNBA star Nneka Ogwumike.
  • E. Ogboru
    Ogboru is a traditional deity revered by the Urhobo people of Nigeria, associated with their indigenous religious beliefs and cultural practices.
  • 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_69f6347816408190904ea71d2a72398f completed May 2, 2026, 5:29 p.m.
Created at: April 8, 2026, 9:54 p.m.