Triple

T3353971
Position Surface form Disambiguated ID Type / Status
Subject Line 19 (Beijing Subway) E70561 entity
Predicate ticketingSystem P3383 FINISHED
Object Yikatong E332219 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: Yikatong | Statement: [Line 19 (Beijing Subway), ticketingSystem, Yikatong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yikatong
Context triple: [Line 19 (Beijing Subway), ticketingSystem, Yikatong]
  • A. Yikatong chosen
    Yikatong is Beijing’s contactless smart card system used for paying fares on public transportation and other city services.
  • B. Qibao
    Qibao is an ancient water town and popular tourist area in Shanghai, known for its historic streets, canals, and traditional architecture.
  • C. Yilibu
    Yilibu was a Qing dynasty official and diplomat who played a key role in negotiating the Treaty of Nanking that ended the First Opium War between China and Britain.
  • D. Zhujiajiao
    Zhujiajiao is an ancient water town on the outskirts of Shanghai, famed for its historic canals, stone bridges, and traditional architecture.
  • E. Xintiandi
    Xintiandi is a fashionable, pedestrian-only district in central Shanghai known for its upscale shopping, dining, nightlife, and preserved Shikumen-style architecture.
  • 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_69ad85a4ef7c8190a29e2bbd6fa454e4 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb24036848190bac779d17dfdce3b completed March 8, 2026, 5:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b325373a1c8190b26d883e2f0dd92b completed March 12, 2026, 8:42 p.m.
Created at: March 8, 2026, 3:13 p.m.