Triple

T16206993
Position Surface form Disambiguated ID Type / Status
Subject Yui Rail E393352 entity
Predicate hasLine P35 FINISHED
Object Naha Airport Line E93549 NE 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: Naha Airport Line | Statement: [Yui Rail, hasLine, Naha Airport Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Naha Airport Line
Context triple: [Yui Rail, hasLine, Naha Airport Line]
  • A. Keikyū Airport Line
    The Keikyū Airport Line is a railway line in the Tokyo area that provides direct train access between central Tokyo and Haneda Airport.
  • B. Sendai Airport Line
    The Sendai Airport Line is a railway line in Miyagi Prefecture, Japan, that connects Sendai Airport with central Sendai and the broader regional rail network.
  • C. Bantan Line
    The Bantan Line is a regional railway line in Hyōgo Prefecture, Japan, operated by JR West and known for connecting inland cities such as Himeji and Asago.
  • D. Okinawa Urban Monorail chosen
    Okinawa Urban Monorail is an elevated rail transit system serving the city of Naha and surrounding areas on Japan’s Okinawa Island.
  • E. Kansai Airport Line
    The Kansai Airport Line is a railway route in Japan that connects Kansai International Airport with the mainland rail network, providing access to major cities in the Kansai region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d87f1f5bd08190bd01cac0d5b9d2ef completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e227101a3c819095ef40e50bf66433 completed April 17, 2026, 12:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000ed13b40819096de333872225730 completed May 10, 2026, 4:51 a.m.
Created at: April 10, 2026, 5:03 a.m.