Triple

T2301771
Position Surface form Disambiguated ID Type / Status
Subject Hankyu Kyoto Main Line E51747 entity
Predicate railwaySignificance P38623 FINISHED
Object major route between Osaka and Kyoto 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: major route between Osaka and Kyoto | Statement: [Hankyu Kyoto Main Line, railwaySignificance, major route between Osaka and Kyoto]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: railwaySignificance
Context triple: [Hankyu Kyoto Main Line, railwaySignificance, major route between Osaka and Kyoto]
  • A. railwayUse
    Indicates that something is used as, or functions in the capacity of, a railway or rail-based transportation facility.
  • B. railwayFocus
    Indicates that something is a primary subject, theme, or point of attention specifically in the context of railways or railway-related matters.
  • C. usesRailInfrastructureOf
    Indicates that one entity operates on, accesses, or otherwise makes use of the rail infrastructure owned or managed by another entity.
  • D. railroadMet
    Indicates that two or more railroads encountered or connected with each other at a specific place or time.
  • E. railroad
    Indicates that one entity constructs, operates, or provides railroad or train transportation services for another entity or area.
  • F. None of above. chosen

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_69a88b0a9f248190bcff941463d8f65a completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abcbabf01081908db3b42bc7c60444 completed March 7, 2026, 6:54 a.m.
PD Predicate disambiguation batch_69abc58ad33c8190b8d68af41b6f5e07 completed March 7, 2026, 6:28 a.m.
PDg Predicate description generation batch_69abcbab15488190bc8d2345f9d9f2bd completed March 7, 2026, 6:54 a.m.
Created at: March 4, 2026, 7:49 p.m.