Triple

T37221358
Position Surface form Disambiguated ID Type / Status
Subject Shin-Osaka – Hakata E922889 entity
Predicate isMajorIntercityLinkBetween P87781 FINISHED
Object Kansai region and northern Kyushu 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: Kansai region and northern Kyushu | Statement: [Shin-Osaka – Hakata, isMajorIntercityLinkBetween, Kansai region and northern Kyushu]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isMajorIntercityLinkBetween
Context triple: [Shin-Osaka – Hakata, isMajorIntercityLinkBetween, Kansai region and northern Kyushu]
  • A. hasMajorRailLinksTo
    Indicates that there are significant railway connections or routes between two locations.
  • B. isMajorTransportLink chosen
    Indicates that something serves as a primary or highly significant route or connection for transporting people or goods between places.
  • C. isMajorTransportLinkIn
    Indicates that a transport route or connection serves as a primary or significant transportation link within a specified area or region.
  • D. isTransportationLinkBetween
    Indicates that there exists a transportation connection (such as a road, rail, air, or sea route) linking the two entities.
  • E. isIntercityHighway
    Indicates that a given road segment functions as a highway connecting different cities or urban areas.
  • 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_69f76ea6f5288190b8d9988f613811c0 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fe6e492bf8819080b25221d13445ea completed May 8, 2026, 11:14 p.m.
PD Predicate disambiguation batch_69fe6dd33a6881908fe9bbbc184cab51 completed May 8, 2026, 11:12 p.m.
Created at: May 3, 2026, 4:15 p.m.