Triple

T14008180
Position Surface form Disambiguated ID Type / Status
Subject Rumuolumeni campus E337005 entity
Predicate cityOrTown P76028 FINISHED
Object Rumuolumeni E1074373 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: Rumuolumeni | Statement: [Rumuolumeni campus, cityOrTown, Rumuolumeni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rumuolumeni
Context triple: [Rumuolumeni campus, cityOrTown, Rumuolumeni]
  • A. Rumuolumeni chosen
    Rumuolumeni is a suburban community in Port Harcourt, Rivers State, Nigeria, known for hosting educational institutions and industrial facilities.
  • B. Rumuobiakani
    Rumuobiakani is a prominent town in Obio-Akpor Local Government Area of Rivers State, Nigeria, known as part of the greater Port Harcourt urban area.
  • C. Rumuokwuta
    Rumuokwuta is a prominent urban town in Rivers State, Nigeria, forming part of the greater Port Harcourt metropolitan area.
  • D. Uluka
    Uluka is an alternative name for the Kannada language, a major Dravidian language spoken predominantly in the Indian state of Karnataka.
  • E. Omolu
    Omolu is an orixá in Afro-Brazilian religion, particularly revered as a powerful deity of disease, healing, and the dead.
  • 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_69d81c645c5c8190b1fd16a285a1b78a completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2ed44f90819099ad08c09c066b56 completed April 14, 2026, 12:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc329891c8190b4dcb9913e235a1c completed May 6, 2026, 10:39 p.m.
Created at: April 9, 2026, 10:19 p.m.