Triple

T12225638
Position Surface form Disambiguated ID Type / Status
Subject Obio-Akpor E291343 entity
Predicate hasSettlement P1068 FINISHED
Object Rumueme E338073 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: Rumueme | Statement: [Obio-Akpor, hasSettlement, Rumueme]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rumueme
Context triple: [Obio-Akpor, hasSettlement, Rumueme]
  • A. Rumueme chosen
    Rumueme is a prominent urban community in Rivers State, Nigeria, forming part of the greater Port Harcourt metropolitan area.
  • B. Rumbia
    Rumbia is a town in Indonesia’s Southeast Sulawesi province that serves as a local administrative and population center.
  • C. Ye’kuana
    The Ye’kuana are an Indigenous people of the Amazonian region of Venezuela and Brazil, known for their riverine village life, intricate basketry, and rich oral traditions.
  • D. Yamanto
    Yamanto is a residential suburb in the City of Ipswich, Queensland, Australia, known for its family-friendly housing estates and growing retail and service amenities.
  • E. Maasim
    Maasim is a coastal municipality in the province of South Cotabato on the island of Mindanao in the Philippines, known for agriculture and fishing.
  • 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_69d6ab668acc8190963ba424049d6aee completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91ca2101c8190955c36704935036a completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60aa9023881909f8373e02d2cad4b completed May 2, 2026, 2:31 p.m.
Created at: April 8, 2026, 9:51 p.m.