Triple

T38665095

Position	Surface form	Disambiguated ID	Type / Status
Subject	京浜急行電鉄株式会社	`E940432`	entity
Predicate	主要ターミナル駅	`P189299`	FINISHED
Object	横須賀中央駅横須賀中央駅は、神奈川県横須賀市中心部に位置し、京急本線の主要拠点として多くの通勤・通学客や商業施設利用者が利用する鉄道駅である。	`E2280222`	NE FINISHED

How this triple was built (2 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: 横須賀中央駅 | Statement: [京浜急行電鉄株式会社, 主要ターミナル駅, 横須賀中央駅]

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: 横須賀中央駅
Triple: [京浜急行電鉄株式会社, 主要ターミナル駅, 横須賀中央駅]

Generated description

横須賀中央駅は、神奈川県横須賀市中心部に位置し、京急本線の主要拠点として多くの通勤・通学客や商業施設利用者が利用する鉄道駅である。

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_69f76edfde348190bf6529d9f49ecd62`	completed	May 3, 2026, 3:50 p.m.
NER	Named-entity recognition	`batch_69fce12f8d40819085d92f792cdc13f3`	completed	May 7, 2026, 6:59 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a41fd69b2cc8190a2a669467d3c9a25`	completed	June 29, 2026, 5:06 a.m.
NEDg	Description generation	`batch_6a41fe3f00d08190ae597e4266b901ee`	completed	June 29, 2026, 5:10 a.m.
NED2	Entity disambiguation (via description)	`batch_6a41fef909448190bb059bf9b7f7e5c6`	completed	June 29, 2026, 5:13 a.m.

Created at: May 3, 2026, 4:33 p.m.