Triple

T5553185
Position Surface form Disambiguated ID Type / Status
Subject 湘南新宿ライン E145575 entity
Predicate 運行事業者 P34619 FINISHED
Object 東日本旅客鉄道 LITERAL 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: 東日本旅客鉄道 | Statement: [湘南新宿ライン, 運行事業者, 東日本旅客鉄道]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 運行事業者
Context triple: [湘南新宿ライン, 運行事業者, 東日本旅客鉄道]
  • A. transportOperator chosen
    Indicates that an entity is responsible for operating or managing the transportation of people or goods between locations.
  • B. hasBusOperator
    Indicates that a bus service, route, or vehicle is operated or managed by a specific operator or company.
  • C. operatedPassengerServices
    Indicates that an entity provided and managed transportation services specifically for carrying passengers.
  • D. ferryOperator
    Indicates that one entity operates, manages, or runs a ferry service for another entity or in a particular context.
  • E. hasPassengerOperator
    Indicates that an entity (such as a vehicle or service) is operated by an organization or person responsible for carrying passengers.
  • F. None of above.

Provenance (3 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.
PD Predicate disambiguation batch_69c01b0e72f08190bf705d8fe1639401 completed March 22, 2026, 4:38 p.m.
Created at: March 22, 2026, 3:35 p.m.