Triple
T14652106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yikatong contactless smart card |
E344013
|
entity |
| Predicate | romanizedName |
P2508
|
FINISHED |
| Object | Yīkǎtōng |
E1063776
|
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: Yīkǎtōng | Statement: [Yikatong contactless smart card, romanizedName, Yīkǎtōng]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yīkǎtōng Context triple: [Yikatong contactless smart card, romanizedName, Yīkǎtōng]
-
A.
Yīkǎtōng
chosen
Yīkǎtōng is a Chinese stored-value transportation and payment card system commonly used for public transit and small purchases in various cities.
-
B.
Tonghua
Tonghua is a prefecture-level city in southeastern Jilin Province, China, known for its mountainous terrain, pharmaceutical industry, and role as a regional transportation hub.
-
C.
Qitaihe
Qitaihe is a small coal-mining city in northeastern China known for its rich mineral resources and location within Heilongjiang Province.
-
D.
Kaihui
Kaihui is a Chinese given name most notably borne by Yang Kaihui, the revolutionary and early partner of Mao Zedong.
-
E.
Xingyuan
Xingyuan was the Chinese era name used during part of Emperor Dezong of Tang’s reign in the late eighth century.
- 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_69fde17283608190a8351b366cac5e4f |
completed | May 8, 2026, 1:13 p.m. |
Created at: April 10, 2026, 1:27 a.m.