Triple

T2677486
Position Surface form Disambiguated ID Type / Status
Subject Warri E56493 entity
Predicate localGovernmentArea P3379 FINISHED
Object Uvwie
Uvwie is a local government area in Delta State, Nigeria, that forms part of the greater Warri urban and commercial region.
E288444 NE FINISHED

How this triple was built (4 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: Uvwie | Statement: [Warri, localGovernmentArea, Uvwie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uvwie
Context triple: [Warri, localGovernmentArea, Uvwie]
  • A. Wawa
    Wawa is a small town in northern Ontario, Canada, known for its iconic giant Canada goose statue and its history as a mining and forestry community.
  • B. Uda
    Uda is a city located in Nara Prefecture, Japan, known for its historical sites and natural scenery.
  • C. Vabis
    Vabis was a Swedish automotive and engineering company that later merged to form Scania-Vabis, a predecessor of the modern Scania AB.
  • D. Wanetsi
    Wanetsi is a distinct and archaic variety of Pashto spoken by a small community in parts of Afghanistan and Pakistan.
  • E. Ikwerre
    Ikwerre is a Niger-Congo language spoken primarily by the Ikwerre people in Rivers State, Nigeria, particularly in and around Port Harcourt.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Uvwie
Triple: [Warri, localGovernmentArea, Uvwie]
Generated description
Uvwie is a local government area in Delta State, Nigeria, that forms part of the greater Warri urban and commercial region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Uvwie
Target entity description: Uvwie is a local government area in Delta State, Nigeria, that forms part of the greater Warri urban and commercial region.
  • A. Wawa
    Wawa is a small town in northern Ontario, Canada, known for its iconic giant Canada goose statue and its history as a mining and forestry community.
  • B. Uda
    Uda is a city located in Nara Prefecture, Japan, known for its historical sites and natural scenery.
  • C. Vabis
    Vabis was a Swedish automotive and engineering company that later merged to form Scania-Vabis, a predecessor of the modern Scania AB.
  • D. Wanetsi
    Wanetsi is a distinct and archaic variety of Pashto spoken by a small community in parts of Afghanistan and Pakistan.
  • E. Ikwerre
    Ikwerre is a Niger-Congo language spoken primarily by the Ikwerre people in Rivers State, Nigeria, particularly in and around Port Harcourt.
  • F. None of above. chosen

Provenance (5 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_69ab4a4b13fc81909dfdb3f23da46832 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd9b697fc8190a5ec8b75ee2ad238 completed March 7, 2026, 7:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69afa065a6f48190973a3b6c52aa23bf completed March 10, 2026, 4:39 a.m.
NEDg Description generation batch_69afa1c4d33c8190b8efa8c1dac0772f completed March 10, 2026, 4:44 a.m.
NED2 Entity disambiguation (via description) batch_69afa24388f48190854fdbac52ee8a03 completed March 10, 2026, 4:46 a.m.
Created at: March 6, 2026, 9:54 p.m.