Triple

T10169916
Position Surface form Disambiguated ID Type / Status
Subject Keisei Skyliner E235302 entity
Predicate nativeName P15 FINISHED
Object スカイライナー
スカイライナーは、京成電鉄が運行する成田空港と都心を結ぶ高速特急列車の名称です。
E846393 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: スカイライナー | Statement: [Keisei Skyliner, nativeName, スカイライナー]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: スカイライナー
Context triple: [Keisei Skyliner, nativeName, スカイライナー]
  • A. Silverliner
    Silverliner is a series of electric multiple-unit commuter railcars used by several transit agencies in the Philadelphia region over multiple generations.
  • B. SkyPier
    SkyPier is a high-speed ferry terminal at Hong Kong International Airport that provides direct sea-to-air and air-to-sea transfer services between the airport and cities in the Pearl River Delta region.
  • C. Sun Shuttle
    Sun Shuttle is a neighborhood and regional circulator transit service that complements Tucson’s main Sun Tran bus system by providing local and demand-responsive transportation in surrounding communities.
  • D. Airtrain
    Airtrain is a privately operated commuter rail service that connects Brisbane Airport with Brisbane’s central business district and surrounding suburbs.
  • E. Swoop
    Swoop is the Philadelphia Eagles’ official bald eagle mascot, known for entertaining fans at games and team events.
  • 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: スカイライナー
Triple: [Keisei Skyliner, nativeName, スカイライナー]
Generated description
スカイライナーは、京成電鉄が運行する成田空港と都心を結ぶ高速特急列車の名称です。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: スカイライナー
Target entity description: スカイライナーは、京成電鉄が運行する成田空港と都心を結ぶ高速特急列車の名称です。
  • A. Silverliner
    Silverliner is a series of electric multiple-unit commuter railcars used by several transit agencies in the Philadelphia region over multiple generations.
  • B. SkyPier
    SkyPier is a high-speed ferry terminal at Hong Kong International Airport that provides direct sea-to-air and air-to-sea transfer services between the airport and cities in the Pearl River Delta region.
  • C. Sun Shuttle
    Sun Shuttle is a neighborhood and regional circulator transit service that complements Tucson’s main Sun Tran bus system by providing local and demand-responsive transportation in surrounding communities.
  • D. Airtrain
    Airtrain is a privately operated commuter rail service that connects Brisbane Airport with Brisbane’s central business district and surrounding suburbs.
  • E. Swoop
    Swoop is the red-tailed hawk mascot representing the University of Utah’s athletic teams.
  • 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_69ca84ceafd0819085828600e11bed6b completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdec9ba56481908b5265aea8ea8cbe completed April 2, 2026, 4:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d3177ddab48190988c280faf406383 completed April 6, 2026, 2:16 a.m.
NEDg Description generation batch_69d3186076208190bd7e0979a2b6620f completed April 6, 2026, 2:20 a.m.
NED2 Entity disambiguation (via description) batch_69d318fd00188190b4e18bbb48b0b698 completed April 6, 2026, 2:22 a.m.
Created at: March 30, 2026, 9:10 p.m.