Triple

T14652105
Position Surface form Disambiguated ID Type / Status
Subject Yikatong contactless smart card E344013 entity
Predicate localName P657 FINISHED
Object 一卡通 E1063357 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: 一卡通 | Statement: [Yikatong contactless smart card, localName, 一卡通]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 一卡通
Context triple: [Yikatong contactless smart card, localName, 一卡通]
  • A. Yang Cheng Tong card
    The Yang Cheng Tong card is a rechargeable contactless smart card widely used in Guangzhou for convenient payment on public transportation and various retail purchases.
  • B. Wuhan Tong card
    The Wuhan Tong card is a rechargeable contactless smart card used for paying fares on public transportation and other services in Wuhan, China.
  • C. Beijing Yikatong chosen
    Beijing Yikatong is a rechargeable contactless smart card system used for paying fares on public transportation and other services throughout Beijing.
  • D. Huabei Bank
    Huabei Bank was a major regional Chinese bank that operated before being reorganized into the national central bank system that became the People's Bank of China.
  • E. Shenzhen Tong card
    The Shenzhen Tong card is a rechargeable contactless smart card used for paying fares on public transportation and making small-value purchases throughout Shenzhen.
  • 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_69d822e1a2cc81908e5bb93cf61ce3cc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb517e7648190b9fc73d6cdbb68de completed April 14, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5d9ab188190934deb57fd6d9a56 completed May 8, 2026, 12:23 p.m.
Created at: April 10, 2026, 1:27 a.m.