Triple

T19604300

Position	Surface form	Disambiguated ID	Type / Status
Subject	柏崎市	`E470563`	entity
Predicate	hasStation	`P35`	FINISHED
Object	西柏崎駅西柏崎駅は、新潟県柏崎市に位置するJR東日本越後線の駅です。	`E1386084`	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: 西柏崎駅 | Statement: [柏崎市, hasStation, 西柏崎駅]

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

Target entity: 西柏崎駅
Context triple: [柏崎市, hasStation, 西柏崎駅]

A. 東柏崎駅
東柏崎駅 is a local railway station in Kashiwazaki, Niigata Prefecture, Japan, serving regional passenger traffic on the JR East network.
B. 大崎駅
大崎駅は、東京都品川区に位置し、山手線など複数路線が乗り入れる主要ターミナル駅です。
C. 村野駅
村野駅は、大阪府交野市に位置し、京阪電気鉄道交野線が乗り入れる地域の生活拠点となっている鉄道駅です。
D. 魚崎駅
魚崎駅は、神戸市東灘区に位置し、六甲ライナーと阪神本線が乗り換え可能な交通結節点となっている鉄道駅です。
E. Yonezawa Station
Yonezawa Station is a railway station in Yonezawa, Yamagata Prefecture, Japan, serving as a local transport hub connecting the city to regional and national rail networks.
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: 西柏崎駅
Triple: [柏崎市, hasStation, 西柏崎駅]

Generated description

西柏崎駅は、新潟県柏崎市に位置するJR東日本越後線の駅です。

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

Target entity: 西柏崎駅
Target entity description: 西柏崎駅は、新潟県柏崎市に位置するJR東日本越後線の駅です。

A. 東柏崎駅
東柏崎駅 is a local railway station in Kashiwazaki, Niigata Prefecture, Japan, serving regional passenger traffic on the JR East network.
B. 大崎駅
大崎駅は、東京都品川区に位置し、山手線など複数路線が乗り入れる主要ターミナル駅です。
C. 村野駅
村野駅は、大阪府交野市に位置し、京阪電気鉄道交野線が乗り入れる地域の生活拠点となっている鉄道駅です。
D. 魚崎駅
魚崎駅は、神戸市東灘区に位置し、六甲ライナーと阪神本線が乗り換え可能な交通結節点となっている鉄道駅です。
E. Yonezawa Station
Yonezawa Station is a railway station in Yonezawa, Yamagata Prefecture, Japan, serving as a local transport hub connecting the city to regional and national rail networks.
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_69d8e510024481908415c0d616fa6186`	completed	April 10, 2026, 11:54 a.m.
NER	Named-entity recognition	`batch_69e64081af6c8190868b73b07c874cd5`	completed	April 20, 2026, 3:04 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a0771ad705c8190aadad012e23c68a1`	completed	May 15, 2026, 7:19 p.m.
NEDg	Description generation	`batch_6a0773a7b6c48190bc7749fb03153745`	completed	May 15, 2026, 7:27 p.m.
NED2	Entity disambiguation (via description)	`batch_6a0774088414819098b770c2af602507`	completed	May 15, 2026, 7:29 p.m.

Created at: April 10, 2026, 1:43 p.m.