Triple

T8089746
Position Surface form Disambiguated ID Type / Status
Subject Hokuriku Shinkansen E188825 entity
Predicate serviceType P87 FINISHED
Object Kagayaki
Kagayaki is the fastest limited-stop train service operating on Japan’s Hokuriku Shinkansen line between Tokyo and the Hokuriku region.
 E719680 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: Kagayaki | Statement: [Hokuriku Shinkansen, serviceType, Kagayaki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kagayaki
Context triple: [Hokuriku Shinkansen, serviceType, Kagayaki]
  • A. Kisogawa
    Kisogawa is the Japanese name for the Kiso River, a major river in central Honshu known for its scenic valleys and historical importance.
  • B. Kamogawa
    Kamogawa is a coastal city in Chiba Prefecture, Japan, known for its beaches, fishing industry, and the popular Kamogawa Sea World aquarium.
  • C. Kamogawa
    Kamogawa is a prominent river running through Kyoto, Japan, known for its scenic banks, cultural significance, and popular walking paths.
  • D. Kizugawa
    Kizugawa is a city in southern Kyoto Prefecture, Japan, known for its mix of historical sites, residential areas, and growing industrial and research facilities.
  • E. Izumi
    Izumi is a city located in Osaka Prefecture, Japan, known as a residential and commercial hub in the Kansai region.
  • 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: Kagayaki
Triple: [Hokuriku Shinkansen, serviceType, Kagayaki]
Generated description
Kagayaki is the fastest limited-stop train service operating on Japan’s Hokuriku Shinkansen line between Tokyo and the Hokuriku region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kagayaki
Target entity description: Kagayaki is the fastest limited-stop train service operating on Japan’s Hokuriku Shinkansen line between Tokyo and the Hokuriku region.
  • A. Kisogawa
    Kisogawa is the Japanese name for the Kiso River, a major river in central Honshu known for its scenic valleys and historical importance.
  • B. Kamogawa
    Kamogawa is a coastal city in Chiba Prefecture, Japan, known for its beaches, fishing industry, and the popular Kamogawa Sea World aquarium.
  • C. Kamogawa
    Kamogawa is a prominent river running through Kyoto, Japan, known for its scenic banks, cultural significance, and popular walking paths.
  • D. Kizugawa
    Kizugawa is a city in southern Kyoto Prefecture, Japan, known for its mix of historical sites, residential areas, and growing industrial and research facilities.
  • E. Izumi
    Izumi is a city located in Osaka Prefecture, Japan, known as a residential and commercial hub in the Kansai region.
  • 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_69ca82b7b3e88190b9041ab0ef28b3cb completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb421e30e88190b9699b338b69b81c completed March 31, 2026, 3:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccecf8f4a48190be0af148a9da4713 completed April 1, 2026, 10:01 a.m.
NEDg Description generation batch_69ccf09a952c8190ace6a9f0012ad90a completed April 1, 2026, 10:16 a.m.
NED2 Entity disambiguation (via description) batch_69cd055292088190927046793cec1c36 completed April 1, 2026, 11:45 a.m.
Created at: March 30, 2026, 5:29 p.m.