Triple

T38665096
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 京急久里浜駅
京急久里浜駅は、神奈川県横須賀市に位置し、京急久里浜線の終着駅として周辺地域の交通拠点となっている鉄道駅です。
E2281103 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: 京急久里浜駅 | Statement: [京浜急行電鉄株式会社, 主要ターミナル駅, 京急久里浜駅]
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: 京急久里浜駅
Triple: [京浜急行電鉄株式会社, 主要ターミナル駅, 京急久里浜駅]
Generated description
京急久里浜駅は、神奈川県横須賀市に位置し、京急久里浜線の終着駅として周辺地域の交通拠点となっている鉄道駅です。

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_6a4205be550881908c6dd87840f9def1 completed June 29, 2026, 5:42 a.m.
NEDg Description generation batch_6a4206ac72a88190b9aceed03c03849a completed June 29, 2026, 5:46 a.m.
NED2 Entity disambiguation (via description) batch_6a42070c71cc8190a961b535af40af92 completed June 29, 2026, 5:47 a.m.
Created at: May 3, 2026, 4:33 p.m.