Triple
T10326103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iwate Prefecture |
E242765
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Ōshū
Ōshū is a city in Japan’s Tōhoku region known for its rural landscapes, historical sites, and agricultural production.
|
E874992
|
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: Ōshū | Statement: [Iwate Prefecture, containsCity, Ōshū]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ōshū Context triple: [Iwate Prefecture, containsCity, Ōshū]
-
A.
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.
-
B.
Yamagata
Yamagata is a city in northern Japan that serves as the capital of Yamagata Prefecture, known for its hot springs, winter sports, and cherry production.
-
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.
Settsu
Settsu is a city in Osaka Prefecture, Japan, known as part of the Osaka metropolitan area.
-
E.
Aizu region
The Aizu region is a historic area in western Fukushima Prefecture, Japan, known for its samurai heritage, traditional castle town of Aizuwakamatsu, and scenic mountainous 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: Ōshū Triple: [Iwate Prefecture, containsCity, Ōshū]
Generated description
Ōshū is a city in Japan’s Tōhoku region known for its rural landscapes, historical sites, and agricultural production.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ōshū Target entity description: Ōshū is a city in Japan’s Tōhoku region known for its rural landscapes, historical sites, and agricultural production.
-
A.
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.
-
B.
Yamagata
Yamagata is a city in northern Japan that serves as the capital of Yamagata Prefecture, known for its hot springs, winter sports, and cherry production.
-
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.
Settsu
Settsu is a city in Osaka Prefecture, Japan, known as part of the Osaka metropolitan area.
-
E.
Aizu region
The Aizu region is a historic area in western Fukushima Prefecture, Japan, known for its samurai heritage, traditional castle town of Aizuwakamatsu, and scenic mountainous 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7cd76348190b93562112300acfc |
completed | April 7, 2026, 10:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96b1d5b388190841ed0df2145ad7a |
completed | April 10, 2026, 9:26 p.m. |
| NEDg | Description generation | batch_69d96d85f9648190a43c8c924f5139e3 |
completed | April 10, 2026, 9:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d96e1a36688190b97ced745bc6a30d |
completed | April 10, 2026, 9:39 p.m. |
Created at: April 6, 2026, 11:51 a.m.