Triple

T18037419
Position Surface form Disambiguated ID Type / Status
Subject Suva–Nausori corridor E431546 entity
Predicate hasUrbanArea P316 FINISHED
Object Nakasi
Nakasi is a major suburban and commercial area within Fiji’s Suva–Nausori urban corridor.
 E1303765 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: Nakasi | Statement: [Suva–Nausori corridor, hasUrbanArea, Nakasi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nakasi
Context triple: [Suva–Nausori corridor, hasUrbanArea, Nakasi]
  • A. Nikaho
    Nikaho is a coastal city in northern Japan known for its scenic Sea of Japan shoreline and location in southwestern Akita Prefecture.
  • B. Nakai
    Nakai is a small town in Kanagawa Prefecture, Japan, known for its rural character and proximity to larger cities like Hadano.
  • C. Nakanai
    Nakanai is an Austronesian language spoken on the island of New Britain in Papua New Guinea, known for its role in the linguistic diversity of the Bismarck Archipelago.
  • D. Nakatane
    Nakatane is a town on Tanegashima Island in Kagoshima Prefecture, Japan, known for its role in local administration and its proximity to the island’s space-related facilities and coastal scenery.
  • E. Nakanamanga
    Nakanamanga is an Oceanic Austronesian language spoken primarily on Efate Island and nearby areas in Vanuatu.
  • 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: Nakasi
Triple: [Suva–Nausori corridor, hasUrbanArea, Nakasi]
Generated description
Nakasi is a major suburban and commercial area within Fiji’s Suva–Nausori urban corridor.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nakasi
Target entity description: Nakasi is a major suburban and commercial area within Fiji’s Suva–Nausori urban corridor.
  • A. Nikaho
    Nikaho is a coastal city in northern Japan known for its scenic Sea of Japan shoreline and location in southwestern Akita Prefecture.
  • B. Nakai
    Nakai is a small town in Kanagawa Prefecture, Japan, known for its rural character and proximity to larger cities like Hadano.
  • C. Nakanai
    Nakanai is an Austronesian language spoken on the island of New Britain in Papua New Guinea, known for its role in the linguistic diversity of the Bismarck Archipelago.
  • D. Nakatane
    Nakatane is a town on Tanegashima Island in Kagoshima Prefecture, Japan, known for its role in local administration and its proximity to the island’s space-related facilities and coastal scenery.
  • E. Nakanamanga
    Nakanamanga is an Oceanic Austronesian language spoken primarily on Efate Island and nearby areas in Vanuatu.
  • 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_6a035660b4448190a0c75e3c1d371662 completed May 12, 2026, 4:33 p.m.
NEDg Description generation batch_6a03585f4a848190af695ec188bcc61c completed May 12, 2026, 4:42 p.m.
NED2 Entity disambiguation (via description) batch_6a0358bb0020819086659607d75b0a13 completed May 12, 2026, 4:43 p.m.
Created at: April 10, 2026, 10:25 a.m.