Triple

T21392983
Position Surface form Disambiguated ID Type / Status
Subject JR Sōjiji Station E527704 entity
Predicate ticketingSystem P3383 FINISHED
Object ICOCA NE NERFINISHED

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: ICOCA | Statement: [JR Sōjiji Station, ticketingSystem, ICOCA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ICOCA
Context triple: [JR Sōjiji Station, ticketingSystem, ICOCA]
  • A. ICOCA chosen
    ICOCA is a rechargeable contactless smart card used for fare payment on public transportation systems in the Kansai region of Japan.
  • 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. Kitaca
    Kitaca is a rechargeable contactless smart card used primarily for public transportation and electronic payments in Japan’s Hokkaido region.
  • D. Surutto Kansai Card
    Surutto Kansai Card is a rechargeable smart card used for cashless fare payment on public transportation networks in the Kansai region of Japan.
  • E. PASMO
    PASMO is a rechargeable contactless smart card widely used for public transportation and electronic payments across the Tokyo metropolitan area.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b51ff3748190935c0a513c62a12b completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b1159a888190aabb5c2a9268bd06 completed April 22, 2026, 11:29 a.m.
Created at: April 16, 2026, 5:13 p.m.