Triple

T15729253

Position	Surface form	Disambiguated ID	Type / Status
Subject	Lake Mashu	`E381297`	entity
Predicate	nameInJapanese	`P744`	FINISHED
Object	摩周湖摩周湖は北海道東部の阿寒摩周国立公園内にある、世界有数の透明度を誇るカルデラ湖です。	`E1173737`	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: 摩周湖 | Statement: [Lake Mashu, nameInJapanese, 摩周湖]

NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07

Target entity: 摩周湖
Context triple: [Lake Mashu, nameInJapanese, 摩周湖]

A. 琵琶湖
琵琶湖は滋賀県に位置する日本最大の淡水湖で、多様な生態系と古くからの交通・水資源の要として知られている。
B. 本栖湖
本栖湖は、富士五湖の一つとして知られる山梨県の淡水湖で、透明度の高い湖水と富士山を望む景観で有名な観光地です。
C. 大沼
大沼は、群馬県の赤城山山頂付近に広がる火口原湖で、周辺の自然景観やレジャーで知られる観光地である。
D. 博斯腾湖
博斯腾湖是位于中国新疆巴音郭楞蒙古自治州境内、以广阔水面和湿地生态闻名的中国最大内陆淡水湖之一。
E. Lushui Lake
Lushui Lake is a scenic freshwater lake and popular leisure destination in Xianning, known for its tranquil waters and surrounding 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: 摩周湖
Triple: [Lake Mashu, nameInJapanese, 摩周湖]

Generated description

摩周湖は北海道東部の阿寒摩周国立公園内にある、世界有数の透明度を誇るカルデラ湖です。

NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07

Target entity: 摩周湖
Target entity description: 摩周湖は北海道東部の阿寒摩周国立公園内にある、世界有数の透明度を誇るカルデラ湖です。

A. 琵琶湖
琵琶湖は滋賀県に位置する日本最大の淡水湖で、多様な生態系と古くからの交通・水資源の要として知られている。
B. 本栖湖
本栖湖は、富士五湖の一つとして知られる山梨県の淡水湖で、透明度の高い湖水と富士山を望む景観で有名な観光地です。
C. 大沼
大沼は、群馬県の赤城山山頂付近に広がる火口原湖で、周辺の自然景観やレジャーで知られる観光地である。
D. 博斯腾湖
博斯腾湖是位于中国新疆巴音郭楞蒙古自治州境内、以广阔水面和湿地生态闻名的中国最大内陆淡水湖之一。
E. Lushui Lake
Lushui Lake is a scenic freshwater lake and popular leisure destination in Xianning, known for its tranquil waters and surrounding 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_69d86d9cdb648190bf3171be0bd7d872`	completed	April 10, 2026, 3:25 a.m.
NER	Named-entity recognition	`batch_69e04fb4cc0081909efe330339474017`	completed	April 16, 2026, 2:55 a.m.
NED1	Entity disambiguation (via context triple)	`batch_69ff82fcb4e4819097bd0591bbcc3b71`	completed	May 9, 2026, 6:54 p.m.
NEDg	Description generation	`batch_69ff83ca33d08190816130bf2ea735df`	completed	May 9, 2026, 6:58 p.m.
NED2	Entity disambiguation (via description)	`batch_69ff8469354c819080b8cfddb7c66be5`	completed	May 9, 2026, 7 p.m.

Created at: April 10, 2026, 4:46 a.m.