Triple

T14098922
Position Surface form Disambiguated ID Type / Status
Subject Rumuokurusi E339327 entity
Predicate localGovernmentArea P3379 FINISHED
Object Obio-Akpor E291343 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: Obio-Akpor | Statement: [Rumuokurusi, localGovernmentArea, Obio-Akpor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Obio-Akpor
Context triple: [Rumuokurusi, localGovernmentArea, Obio-Akpor]
  • A. Obio-Akpor chosen
    Obio-Akpor is a prominent local government area and urban center in Nigeria that forms part of the greater Port Harcourt metropolitan region in Rivers State.
  • B. Ogoja
    Ogoja is a historic town and former provincial headquarters in southeastern Nigeria, known as an important administrative and commercial center in Cross River State.
  • C. Umuokpo
    Umuokpo is a town in southeastern Nigeria that serves as the administrative center of the Owerri West local government area in Imo State.
  • D. Oke-Ikpe
    Oke-Ikpe is a town in Abia State, Nigeria, serving as the central seat of local government and administration for the Ukwa West area.
  • E. Igbesa
    Igbesa is a prominent town in Ogun State, Nigeria, known for its growing industrial presence and educational institutions.
  • 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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5fba7c10819095b1299b7b4f0310 completed April 14, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3243360c819084a524af2e452863 completed May 8, 2026, 12:45 a.m.
Created at: April 9, 2026, 10:22 p.m.