Triple

T6154392
Position Surface form Disambiguated ID Type / Status
Subject Keio fare system E137282 entity
Predicate compatibleICCardBrand P69490 FINISHED
Object Kitaca E358113 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: Kitaca | Statement: [Keio fare system, compatibleICCardBrand, Kitaca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kitaca
Context triple: [Keio fare system, compatibleICCardBrand, Kitaca]
  • A. Kitaca chosen
    Kitaca is a rechargeable contactless smart card used primarily for public transportation and electronic payments in Japan’s Hokkaido region.
  • B. Suica
    Suica is a rechargeable contactless smart card issued by JR East that is widely used for train fares and electronic payments across Japan.
  • C. PASMO
    PASMO is a rechargeable contactless smart card widely used for public transportation and electronic payments across the Tokyo metropolitan area.
  • D. Sendai Subway
    Sendai Subway is an urban rapid transit system serving the city of Sendai in Japan, providing key north–south and east–west rail connections across the metropolitan area.
  • E. Toei Subway
    Toei Subway is one of Tokyo's two main subway networks, operated by the Tokyo Metropolitan Bureau of Transportation and serving numerous urban and suburban areas across the city.
  • 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_69c008a45d008190832a9e19f5d63406 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c060fca4cc8190bf95231cd2a594c1 completed March 22, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20d6eefa88190ae55dab8b4ebe06d completed March 24, 2026, 4:05 a.m.
Created at: March 22, 2026, 4:17 p.m.