Triple

T12652540

Position	Surface form	Disambiguated ID	Type / Status
Subject	柏原市	`E302198`	entity
Predicate	主な駅	`P30882`	FINISHED
Object	堅下駅堅下駅は、大阪府柏原市に位置し、近鉄大阪線が乗り入れる同市の主要な鉄道駅の一つです。	`E996590`	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: 堅下駅 | Statement: [柏原市, 主な駅, 堅下駅]

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

Target entity: 堅下駅
Context triple: [柏原市, 主な駅, 堅下駅]

A. 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。
B. 千駄木駅
千駄木駅は、東京都文京区に位置し、東京メトロ千代田線が乗り入れる下町情緒の残るエリアの主要な地下鉄駅です。
C. 津田駅
津田駅は、大阪府交野市に位置し、JR西日本の学研都市線（片町線）が乗り入れる地域の主要な鉄道駅です。
D. Daikan-yama Station
Daikan-yama Station is a railway station in Tokyo, Japan, serving the trendy Daikanyama neighborhood with access to the Tokyu Toyoko Line.
E. Minami-Yono Station
Minami-Yono Station is a railway station in Saitama, Japan, operated by JR East on the Saikyo Line, providing commuter access between Saitama and central 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: 堅下駅
Triple: [柏原市, 主な駅, 堅下駅]

Generated description

堅下駅は、大阪府柏原市に位置し、近鉄大阪線が乗り入れる同市の主要な鉄道駅の一つです。

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

Target entity: 堅下駅
Target entity description: 堅下駅は、大阪府柏原市に位置し、近鉄大阪線が乗り入れる同市の主要な鉄道駅の一つです。

A. 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。
B. 千駄木駅
千駄木駅は、東京都文京区に位置し、東京メトロ千代田線が乗り入れる下町情緒の残るエリアの主要な地下鉄駅です。
C. 津田駅
津田駅は、大阪府交野市に位置し、JR西日本の学研都市線（片町線）が乗り入れる地域の主要な鉄道駅です。
D. Daikan-yama Station
Daikan-yama Station is a railway station in Tokyo, Japan, serving the trendy Daikanyama neighborhood with access to the Tokyu Toyoko Line.
E. Minami-Yono Station
Minami-Yono Station is a railway station in Saitama, Japan, operated by JR East on the Saikyo Line, providing commuter access between Saitama and central 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_69d7bded71a88190bb76e2413af9ea66`	completed	April 9, 2026, 2:55 p.m.
NER	Named-entity recognition	`batch_69d96411d87481909127e81755f23964`	completed	April 10, 2026, 8:56 p.m.
NED1	Entity disambiguation (via context triple)	`batch_69f6688104d48190939933b93b7e60cc`	completed	May 2, 2026, 9:11 p.m.
NEDg	Description generation	`batch_69f66c572f848190a8cad6311d3315a3`	completed	May 2, 2026, 9:27 p.m.
NED2	Entity disambiguation (via description)	`batch_69f66cef79148190a052fb9ade3b0d27`	completed	May 2, 2026, 9:30 p.m.

Created at: April 9, 2026, 5:18 p.m.