Triple

T3411348
Position Surface form Disambiguated ID Type / Status
Subject ICOCA E71900 entity
Predicate hasVariant P455 FINISHED
Object ICOCA for children E71900 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: ICOCA for children | Statement: [ICOCA, hasVariant, ICOCA for children]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ICOCA for children
Context triple: [ICOCA, hasVariant, ICOCA for children]
  • 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. ORCA card
    The ORCA card is a reusable, contactless smart card used to pay fares across multiple public transit systems in the Puget Sound region of Washington State.
  • D. Minato Mirai 21
    Minato Mirai 21 is a major seaside urban development and business district in Yokohama, Japan, known for its modern skyline, shopping centers, and entertainment facilities.
  • E. Keio fare system
    The Keio fare system is the ticketing and pricing scheme used by Keio Corporation for travel on its railway lines, integrating distance-based fares and various passes across the network.
  • 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_69ad85ac312481909e7027ced1456a9f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb90a76288190b92ef3b26638cd47 completed March 8, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69b34bdf81e48190abac8ea645e929ce completed March 12, 2026, 11:27 p.m.
Created at: March 8, 2026, 3:15 p.m.