Triple

T36765289
Position Surface form Disambiguated ID Type / Status
Subject Mihara area E908319 entity
Predicate railJunctionFunction P112432 FINISHED
Object connection between Sanyō Main Line and Kure Line 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: connection between Sanyō Main Line and Kure Line | Statement: [Mihara area, railJunctionFunction, connection between Sanyō Main Line and Kure Line]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: railJunctionFunction
Context triple: [Mihara area, railJunctionFunction, connection between Sanyō Main Line and Kure Line]
  • A. railwayJunctionFor
    Indicates that a location serves as a junction point where multiple railway lines or routes connect or intersect for a given railway network or service.
  • B. railwayZoneJunction
    Indicates a junction where multiple railway zones or lines intersect or connect.
  • C. railInterface
    Indicates a connection or interaction between entities via a rail-based system or interface.
  • D. railwayStationFunction
    Indicates that an entity serves as a railway station and specifies the role or function it performs within the railway network.
  • E. hasRailInterchangeFunction chosen
    Indicates that something serves as a location or facility where rail lines connect or intersect, allowing passengers or goods to transfer between them.
  • 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_69f76e786ba481909cdcf6cf6b39dd32 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f7c9f5a8848190ba956ff27f44e396 completed May 3, 2026, 10:19 p.m.
PD Predicate disambiguation batch_69f7c8999a348190abc1895eaa6e036d completed May 3, 2026, 10:13 p.m.
Created at: May 3, 2026, 4:12 p.m.