Triple

T18037427
Position Surface form Disambiguated ID Type / Status
Subject Suva–Nausori corridor E431546 entity
Predicate hasUrbanArea P316 FINISHED
Object Makoi
Makoi is a suburban residential and commercial area within Fiji’s greater Suva–Nausori metropolitan region.
E1302118 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: Makoi | Statement: [Suva–Nausori corridor, hasUrbanArea, Makoi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Makoi
Context triple: [Suva–Nausori corridor, hasUrbanArea, Makoi]
  • A. Makato
    Makato is a coastal municipality in the province of Aklan in the Western Visayas region of the Philippines.
  • B. Makeni
    Makeni is a major city in northern Sierra Leone that serves as an important commercial and transportation hub for the region.
  • C. Makus
    Makus is an alternative form of the name Maccus, a historical given name of Norse and Gaelic origin.
  • D. Maoka
    Maoka is the former Japanese name of the port town now known as Kholmsk on Russia’s Sakhalin Island.
  • E. Makun
    Makun is a residential suburb within the city of Sagamu in Ogun State, southwestern Nigeria.
  • 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: Makoi
Triple: [Suva–Nausori corridor, hasUrbanArea, Makoi]
Generated description
Makoi is a suburban residential and commercial area within Fiji’s greater Suva–Nausori metropolitan region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Makoi
Target entity description: Makoi is a suburban residential and commercial area within Fiji’s greater Suva–Nausori metropolitan region.
  • A. Makato
    Makato is a coastal municipality in the province of Aklan in the Western Visayas region of the Philippines.
  • B. Makeni
    Makeni is a major city in northern Sierra Leone that serves as an important commercial and transportation hub for the region.
  • C. Makus
    Makus is an alternative form of the name Maccus, a historical given name of Norse and Gaelic origin.
  • D. Maoka
    Maoka is the former Japanese name of the port town now known as Kholmsk on Russia’s Sakhalin Island.
  • E. Makun
    Makun is a residential suburb within the city of Sagamu in Ogun State, southwestern Nigeria.
  • 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_6a0349b345148190b500996adc2c4d6f completed May 12, 2026, 3:39 p.m.
NEDg Description generation batch_6a034a6325b881909f8b21f25c88c561 completed May 12, 2026, 3:42 p.m.
NED2 Entity disambiguation (via description) batch_6a034b35b618819086373115fea686ad completed May 12, 2026, 3:45 p.m.
Created at: April 10, 2026, 10:25 a.m.