Triple

T5553213
Position Surface form Disambiguated ID Type / Status
Subject 湘南新宿ライン E145575 entity
Predicate 代表的終点駅 P34947 FINISHED
Object 国府津駅
国府津駅は、神奈川県小田原市に位置し、東海道本線や御殿場線が乗り入れる湘南エリアの主要な鉄道駅です。
E536025 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: 国府津駅 | Statement: [湘南新宿ライン, 代表的終点駅, 国府津駅]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 国府津駅
Context triple: [湘南新宿ライン, 代表的終点駅, 国府津駅]
  • A. Gokurakubashi Station
    Gokurakubashi Station is a railway station in Kōya, Wakayama Prefecture, Japan, serving as the gateway terminal for visitors traveling by rail to the sacred Mount Kōya temple complex.
  • B. Sakuragawa Station
    Sakuragawa Station is a railway station in Osaka, Japan, serving as a stop on multiple urban transit lines including the Osaka Metro network.
  • C. Nagaoka Station
    Nagaoka Station is a major railway hub in Niigata Prefecture, Japan, serving both local and Shinkansen high-speed train lines.
  • D. Utsunomiya Station
    Utsunomiya Station is a major railway hub in Utsunomiya, Tochigi Prefecture, Japan, served by multiple JR East lines and Shinkansen services.
  • E. Shinanomachi Station
    Shinanomachi Station is a railway station in Shinjuku, Tokyo, serving the JR Chūō-Sōbu Line and providing access to nearby sports and medical facilities.
  • 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: 国府津駅
Triple: [湘南新宿ライン, 代表的終点駅, 国府津駅]
Generated description
国府津駅は、神奈川県小田原市に位置し、東海道本線や御殿場線が乗り入れる湘南エリアの主要な鉄道駅です。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 国府津駅
Target entity description: 国府津駅は、神奈川県小田原市に位置し、東海道本線や御殿場線が乗り入れる湘南エリアの主要な鉄道駅です。
  • A. Gokurakubashi Station
    Gokurakubashi Station is a railway station in Kōya, Wakayama Prefecture, Japan, serving as the gateway terminal for visitors traveling by rail to the sacred Mount Kōya temple complex.
  • B. Sakuragawa Station
    Sakuragawa Station is a railway station in Osaka, Japan, serving as a stop on multiple urban transit lines including the Osaka Metro network.
  • C. Nagaoka Station
    Nagaoka Station is a major railway hub in Niigata Prefecture, Japan, serving both local and Shinkansen high-speed train lines.
  • D. Utsunomiya Station
    Utsunomiya Station is a major railway hub in Utsunomiya, Tochigi Prefecture, Japan, served by multiple JR East lines and Shinkansen services.
  • E. Shinanomachi Station
    Shinanomachi Station is a railway station in Shinjuku, Tokyo, serving the JR Chūō-Sōbu Line and providing access to nearby sports and medical facilities.
  • 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_69c008fb879c81909f5bfa56fadc1d46 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c021d76e4081908570dc34217c66fe completed March 22, 2026, 5:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04cfc6f808190a39c607f61dcfa32 completed March 22, 2026, 8:11 p.m.
NEDg Description generation batch_69c04e8422dc8190879ee52bd6850565 completed March 22, 2026, 8:18 p.m.
NED2 Entity disambiguation (via description) batch_69c04f3963888190b1c85b3bb9ff5d44 completed March 22, 2026, 8:21 p.m.
Created at: March 22, 2026, 3:35 p.m.