Triple

T5553193
Position Surface form Disambiguated ID Type / Status
Subject 湘南新宿ライン E145575 entity
Predicate 経由駅 P24280 FINISHED
Object 新宿駅 E34446 NE FINISHED

How this triple was built (3 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: 新宿駅 | Statement: [湘南新宿ライン, 経由駅, 新宿駅]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 新宿駅
Context triple: [湘南新宿ライン, 経由駅, 新宿駅]
  • A. Akasaka Station
    Akasaka Station is a Tokyo Metro subway station in Tokyo’s Minato ward, serving as a key stop on the Chiyoda Line in a major business and entertainment district.
  • B. Shinjuku Station chosen
    Shinjuku Station is one of the world’s busiest railway hubs, serving as a major commercial and transportation center in Tokyo, Japan.
  • C. Ikebukuro Station
    Ikebukuro Station is one of Tokyo’s busiest railway hubs, serving multiple JR and private lines and acting as a major commercial and transit center in the Ikebukuro district.
  • D. Shibuya Station
    Shibuya Station is one of Tokyo’s busiest and most important railway hubs, serving multiple train and subway lines and anchoring the famous Shibuya shopping and entertainment district.
  • E. Shinagawa Station
    Shinagawa Station is a major railway and transportation hub in Tokyo, Japan, serving multiple JR and private lines as well as Shinkansen high-speed trains.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 経由駅
Context triple: [湘南新宿ライン, 経由駅, 新宿駅]
  • A. servesAsThroughStationFor
    Indicates that a station functions as an intermediate (through) stop for a particular service, route, or journey rather than as its starting or ending point.
  • B. interchangeStation
    Indicates a station where passengers can transfer between different routes, lines, or modes of transportation.
  • C. junctionStation
    Indicates that a station functions as a junction where multiple routes or lines intersect or connect.
  • D. hasIntermediateStation chosen
    Indicates that a route, journey, or connection includes a station that lies between its starting point and its final destination.
  • E. hasRailStation
    Indicates that one entity possesses, contains, or is served by a rail station.
  • F. None of above.

Provenance (4 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_69c01ff9c9c48190b5e587d58c6515d8 completed March 22, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8fa179c008190a6bba55cb62b7fe8 completed March 29, 2026, 10:08 a.m.
PD Predicate disambiguation batch_69c01b0e72f08190bf705d8fe1639401 completed March 22, 2026, 4:38 p.m.
Created at: March 22, 2026, 3:35 p.m.