Triple

T1081007
Position Surface form Disambiguated ID Type / Status
Subject JR Shonan–Shinjuku Line E23944 entity
Predicate connectsRegion P845 FINISHED
Object Shōnan
Shōnan is a coastal region in Kanagawa Prefecture, Japan, known for its beaches, surf culture, and views of Enoshima and Mount Fuji.
 E182077 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: Shōnan | Statement: [JR Shonan–Shinjuku Line, connectsRegion, Shōnan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Shōnan
Context triple: [JR Shonan–Shinjuku Line, connectsRegion, Shōnan]
  • A. Arima
    Arima is a borough and one of the major urban centers in eastern Trinidad, known for its cultural heritage and role as a commercial hub in Trinidad and Tobago.
  • B. Kyotanabe
    Kyotanabe is a city in Kyoto Prefecture, Japan, known for its residential suburbs, educational institutions, and location within the Kansai region.
  • C. Fujiidera
    Fujiidera is a city in Osaka Prefecture, Japan, known for its historical temples and role as a residential and commercial suburb in the Kansai region.
  • D. Suzuya
    Suzuya is a Japanese Mogami-class heavy cruiser of the Imperial Japanese Navy that served during World War II.
  • E. Daikanyama
    Daikanyama is a trendy, upscale neighborhood in Tokyo known for its stylish boutiques, cafes, and relaxed, residential atmosphere.
  • 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: Shōnan
Triple: [JR Shonan–Shinjuku Line, connectsRegion, Shōnan]
Generated description
Shōnan is a coastal region in Kanagawa Prefecture, Japan, known for its beaches, surf culture, and views of Enoshima and Mount Fuji.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Shōnan
Target entity description: Shōnan is a coastal region in Kanagawa Prefecture, Japan, known for its beaches, surf culture, and views of Enoshima and Mount Fuji.
  • A. Arima
    Arima is a borough and one of the major urban centers in eastern Trinidad, known for its cultural heritage and role as a commercial hub in Trinidad and Tobago.
  • B. Kyotanabe
    Kyotanabe is a city in Kyoto Prefecture, Japan, known for its residential suburbs, educational institutions, and location within the Kansai region.
  • C. Fujiidera
    Fujiidera is a city in Osaka Prefecture, Japan, known for its historical temples and role as a residential and commercial suburb in the Kansai region.
  • D. Suzuya
    Suzuya is a Japanese Mogami-class heavy cruiser of the Imperial Japanese Navy that served during World War II.
  • E. Daikanyama
    Daikanyama is a trendy, upscale neighborhood in Tokyo known for its stylish boutiques, cafes, and relaxed, residential atmosphere.
  • 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_69a493f1ddf48190a99d54b00e99f8ce completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b946af788190b400644a2dec68c3 completed March 1, 2026, 10:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad519194988190bb0eb59e7fa34dea completed March 8, 2026, 10:38 a.m.
NEDg Description generation batch_69ad52005fc081908655d157d1d99343 completed March 8, 2026, 10:40 a.m.
NED2 Entity disambiguation (via description) batch_69ad526b49f48190a7bf00ad82941dbf completed March 8, 2026, 10:41 a.m.
Created at: March 1, 2026, 7:42 p.m.