Triple

T18037425
Position Surface form Disambiguated ID Type / Status
Subject Suva–Nausori corridor E431546 entity
Predicate hasUrbanArea P316 FINISHED
Object Kinoya
Kinoya is a suburban residential area located within the greater Suva–Nausori urban region in Fiji.
 E1489005 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: Kinoya | Statement: [Suva–Nausori corridor, hasUrbanArea, Kinoya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kinoya
Context triple: [Suva–Nausori corridor, hasUrbanArea, Kinoya]
  • A. Kōyō
    Kōyō is a Japanese given name, notably borne by the writer Kōyō Ozaki.
  • B. Keiyo
    Keiyo is a Southern Nilotic language spoken primarily by the Keiyo people of Kenya’s Rift Valley region.
  • C. Koromo
    Koromo was the former name of what is now Toyota City in Aichi Prefecture, Japan, historically known as a regional center before becoming synonymous with the Toyota automobile company.
  • D. Kōtaishi
    Kōtaishi is the formal Japanese title used to designate the heir apparent to the Chrysanthemum Throne.
  • E. Nuriro
    Nuriro is a class of South Korean intercity passenger trains operated by Korail, providing medium-speed rail services on various routes.
  • 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: Kinoya
Triple: [Suva–Nausori corridor, hasUrbanArea, Kinoya]
Generated description
Kinoya is a suburban residential area located within the greater Suva–Nausori urban region in Fiji.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kinoya
Target entity description: Kinoya is a suburban residential area located within the greater Suva–Nausori urban region in Fiji.
  • A. Kōyō
    Kōyō is a Japanese given name, notably borne by the writer Kōyō Ozaki.
  • B. Keiyo
    Keiyo is a Southern Nilotic language spoken primarily by the Keiyo people of Kenya’s Rift Valley region.
  • C. Koromo
    Koromo was the former name of what is now Toyota City in Aichi Prefecture, Japan, historically known as a regional center before becoming synonymous with the Toyota automobile company.
  • D. Kōtaishi
    Kōtaishi is the formal Japanese title used to designate the heir apparent to the Chrysanthemum Throne.
  • E. Nuriro
    Nuriro is a class of South Korean intercity passenger trains operated by Korail, providing medium-speed rail services on various routes.
  • 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_69d8b9050fb48190890155145deb0a66 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4be3bc3208190a6db569e79f06232 completed April 19, 2026, 11:36 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09e80b29f08190949c8bb718c1787a completed May 17, 2026, 4:08 p.m.
NEDg Description generation batch_6a09e8f8eb4481909ffd1566e8525314 completed May 17, 2026, 4:12 p.m.
NED2 Entity disambiguation (via description) batch_6a09e97bce4c8190bc9eb4cec0afe061 completed May 17, 2026, 4:14 p.m.
Created at: April 10, 2026, 10:25 a.m.