Triple

T35494195
Position Surface form Disambiguated ID Type / Status
Subject Maizuru Line E1025809 entity
Predicate hasRailwayOperatorType P38622 FINISHED
Object JR Group company NE NERFINISHED

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: JR Group company | Statement: [Maizuru Line, hasRailwayOperatorType, JR Group company]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRailwayOperatorType
Context triple: [Maizuru Line, hasRailwayOperatorType, JR Group company]
  • A. hasRailTransportOperator
    Indicates that a rail transport system, service, or infrastructure is operated or managed by a specified rail transport operator.
  • B. hasRailOperatorNamedAfter
    Indicates that a rail operator is named after the specified entity.
  • C. railwayCompanyType chosen
    Indicates the specific category or classification of a railway company in terms of its role, ownership, or operational type.
  • D. hasLocalRailOperator
    Indicates that a specified rail operator is responsible for providing local or regional rail services within a particular area or network.
  • E. hasBusServiceOperatorType
    Indicates that a bus service is associated with a specific type or category of operator responsible for running it.
  • 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_69f76dfc9c60819089c4217d93922615 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fd6a1c1c4881908090053bc359b181 completed May 8, 2026, 4:44 a.m.
PD Predicate disambiguation batch_69fd696f24d8819091033afacbdaadc5 completed May 8, 2026, 4:41 a.m.
Created at: May 3, 2026, 4:04 p.m.