Triple

T4778728

Position	Surface form	Disambiguated ID	Type / Status
Subject	Kashiwazaki	`E106119`	entity
Predicate	hasJapaneseName	`P9882`	FINISHED
Object	柏崎市柏崎市は、新潟県中越地方に位置し、日本海に面したエネルギー産業や海水浴場で知られる都市です。	`E470563`	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: 柏崎市 | Statement: [Kashiwazaki, hasJapaneseName, 柏崎市]

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

Target entity: 柏崎市
Context triple: [Kashiwazaki, hasJapaneseName, 柏崎市]

A. 柏原市
柏原市は、大阪府南東部に位置し、歴史ある寺社やぶどう栽培などで知られる中規模の都市です。
B. 八幡市
八幡市は、京都府南部に位置し、石清水八幡宮などで知られる歴史と自然に恵まれた都市です。
C. 高槻市
高槻市は、大阪府北部に位置し、京都と大阪の中間にあるベッドタウン兼商工業都市です。
D. 津山市
津山市 is a historic castle town and regional city in Okayama Prefecture, Japan, known for Tsuyama Castle ruins and its preserved traditional streetscapes.
E. 和光市
和光市 is a suburban city in southern Saitama Prefecture, Japan, known for hosting research institutes and serving as a residential area for commuters to Tokyo.
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: 柏崎市
Triple: [Kashiwazaki, hasJapaneseName, 柏崎市]

Generated description

柏崎市は、新潟県中越地方に位置し、日本海に面したエネルギー産業や海水浴場で知られる都市です。

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

Target entity: 柏崎市
Target entity description: 柏崎市は、新潟県中越地方に位置し、日本海に面したエネルギー産業や海水浴場で知られる都市です。

A. 柏原市
柏原市は、大阪府南東部に位置し、歴史ある寺社やぶどう栽培などで知られる中規模の都市です。
B. 八幡市
八幡市は、京都府南部に位置し、石清水八幡宮などで知られる歴史と自然に恵まれた都市です。
C. 高槻市
高槻市は、大阪府北部に位置し、京都と大阪の中間にあるベッドタウン兼商工業都市です。
D. 津山市
津山市 is a historic castle town and regional city in Okayama Prefecture, Japan, known for Tsuyama Castle ruins and its preserved traditional streetscapes.
E. 和光市
和光市 is a suburban city in southern Saitama Prefecture, Japan, known for hosting research institutes and serving as a residential area for commuters to Tokyo.
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_69bd43f3074c8190937e7b0a457fe9f1`	completed	March 20, 2026, 12:56 p.m.
NER	Named-entity recognition	`batch_69bd658942e481908570cfec77fe4a4b`	completed	March 20, 2026, 3:19 p.m.
NED1	Entity disambiguation (via context triple)	`batch_69be43cecc748190a410c262aa2e4b98`	completed	March 21, 2026, 7:07 a.m.
NEDg	Description generation	`batch_69be45b95ab48190b5d8b84c56b1a0ac`	completed	March 21, 2026, 7:16 a.m.
NED2	Entity disambiguation (via description)	`batch_69be46e400cc8190aaa7fc42713f30c6`	completed	March 21, 2026, 7:21 a.m.

Created at: March 20, 2026, 1:21 p.m.