Triple

T3845049
Position Surface form Disambiguated ID Type / Status
Subject Kokusai-dori E93548 entity
Predicate transportAccess P1288 FINISHED
Object Yui Rail
Yui Rail is an urban monorail system serving Naha and surrounding areas in Okinawa, Japan.
E393352 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: Yui Rail | Statement: [Kokusai-dori, transportAccess, Yui Rail]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yui Rail
Context triple: [Kokusai-dori, transportAccess, Yui Rail]
  • A. Tsutako
    Tsutako is a Japanese given name, most notably borne by Tsutako Nakasone.
  • B. Mikoto
    Mikoto is a divine title associated with the Shinto moon god Tsukuyomi, reflecting reverence and honor in Japanese mythology.
  • C. Yuriko
    Yuriko is the given name of Japanese actress Rinko Kikuchi, known for her roles in films such as "Babel" and "Pacific Rim."
  • D. Garai
    Garai is a surname most notably associated with English actress and director Romola Garai.
  • E. Rittō
    Rittō is a city in Shiga Prefecture, Japan, known for its residential communities and proximity to the Kyoto–Osaka metropolitan area.
  • 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: Yui Rail
Triple: [Kokusai-dori, transportAccess, Yui Rail]
Generated description
Yui Rail is an urban monorail system serving Naha and surrounding areas in Okinawa, Japan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Yui Rail
Target entity description: Yui Rail is an urban monorail system serving Naha and surrounding areas in Okinawa, Japan.
  • A. Tsutako
    Tsutako is a Japanese given name, most notably borne by Tsutako Nakasone.
  • B. Mikoto
    Mikoto is a divine title associated with the Shinto moon god Tsukuyomi, reflecting reverence and honor in Japanese mythology.
  • C. Yuriko
    Yuriko is the given name of Japanese actress Rinko Kikuchi, known for her roles in films such as "Babel" and "Pacific Rim."
  • D. Garai
    Garai is a surname most notably associated with English actress and director Romola Garai.
  • E. Rittō
    Rittō is a city in Shiga Prefecture, Japan, known for its residential communities and proximity to the Kyoto–Osaka metropolitan area.
  • 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_69aed96ce578819084ab16e3439976c9 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeebb655c081909ec5ff3d09eb4778 completed March 9, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b504122cb08190ba97ce14e8d891fc completed March 14, 2026, 6:45 a.m.
NEDg Description generation batch_69b504a31de08190b543549a2b05b038 completed March 14, 2026, 6:48 a.m.
NED2 Entity disambiguation (via description) batch_69b5084c8bd48190b7afc80bed196c90 completed March 14, 2026, 7:03 a.m.
Created at: March 9, 2026, 3:18 p.m.