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.