Triple
T324253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Renminbi banknotes |
E6478
|
entity |
| Predicate | currencyCode |
P208
|
FINISHED |
| Object | CNY |
E25290
|
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: CNY | Statement: [Renminbi banknotes, currencyCode, CNY]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CNY Context triple: [Renminbi banknotes, currencyCode, CNY]
-
A.
Chinese yuan
chosen
The Chinese yuan is the official currency of the People's Republic of China and one of the world's major reserve and trading currencies.
-
B.
Xintiandi
Xintiandi is a fashionable, pedestrian-only district in central Shanghai known for its upscale shopping, dining, nightlife, and preserved Shikumen-style architecture.
-
C.
Hakka
Hakka is a Sinitic language spoken primarily by the Hakka people across southern China and various overseas Chinese communities.
-
D.
Renminbi banknotes
Renminbi banknotes are the official paper currency of the People’s Republic of China, notable for prominently featuring a portrait of Mao Zedong on most modern denominations.
-
E.
Xuan
Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
- 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_69a2e7933d6c8190bb2592ad13286ef2 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea941b108190983ec543569e580e |
completed | Feb. 28, 2026, 1:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3cfe9c66c8190957b2ab7f5bae6fd |
completed | March 1, 2026, 5:34 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.