Triple

T12659170
Position Surface form Disambiguated ID Type / Status
Subject Noto Province E302370 entity
Predicate japaneseName P9882 FINISHED
Object 能登国
能登国は、現在の石川県北部にあたる能登半島一帯を領域とした、日本の旧令制国の一つです。
E996013 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: 能登国 | Statement: [Noto Province, japaneseName, 能登国]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 能登国
Context triple: [Noto Province, japaneseName, 能登国]
  • A. Ōshū
    Ōshū is a city in Japan’s Tōhoku region known for its rural landscapes, historical sites, and agricultural production.
  • B. Higashiyamato
    Higashiyamato is a suburban city in western Tokyo, Japan, known for its residential neighborhoods and proximity to the Tama region’s parks and green spaces.
  • C. Shinano
    Shinano was a Japanese World War II aircraft carrier, originally laid down as a Yamato-class battleship and notable for being the largest carrier ever sunk in combat.
  • D. Koromogawa, Mutsu Province
    Koromogawa in Mutsu Province was a historical locality in northeastern Japan, best known as the site where the famed warrior Minamoto no Yoshitsune met his death.
  • E. Minakami
    Minakami is a mountainous town in Gunma Prefecture, Japan, known for its hot springs, outdoor sports, and scenic natural landscapes.
  • 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: 能登国
Triple: [Noto Province, japaneseName, 能登国]
Generated description
能登国は、現在の石川県北部にあたる能登半島一帯を領域とした、日本の旧令制国の一つです。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 能登国
Target entity description: 能登国は、現在の石川県北部にあたる能登半島一帯を領域とした、日本の旧令制国の一つです。
  • A. Ōshū
    Ōshū is a city in Japan’s Tōhoku region known for its rural landscapes, historical sites, and agricultural production.
  • B. Higashiyamato
    Higashiyamato is a suburban city in western Tokyo, Japan, known for its residential neighborhoods and proximity to the Tama region’s parks and green spaces.
  • C. Shinano
    Shinano was a Japanese World War II aircraft carrier, originally laid down as a Yamato-class battleship and notable for being the largest carrier ever sunk in combat.
  • D. Koromogawa, Mutsu Province
    Koromogawa in Mutsu Province was a historical locality in northeastern Japan, best known as the site where the famed warrior Minamoto no Yoshitsune met his death.
  • E. Minakami
    Minakami is a mountainous town in Gunma Prefecture, Japan, known for its hot springs, outdoor sports, and scenic natural landscapes.
  • 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_69d7bded71a88190bb76e2413af9ea66 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961636db8819099c438b24bcfd866 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f66885e44c8190a650301b0e86d0f4 completed May 2, 2026, 9:11 p.m.
NEDg Description generation batch_69f66a602f088190984fa3381b5be944 completed May 2, 2026, 9:19 p.m.
NED2 Entity disambiguation (via description) batch_69f66b18e68881908bf79ab52bcc909e completed May 2, 2026, 9:22 p.m.
Created at: April 9, 2026, 5:19 p.m.