Triple
T9156866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CNY |
E219726
|
entity |
| Predicate | hasPluralName |
P5088
|
FINISHED |
| Object | yuan |
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: yuan | Statement: [CNY, hasPluralName, yuan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: yuan Context triple: [CNY, hasPluralName, yuan]
-
A.
Yuan
Yuan is a common Chinese surname with historical roots and notable bearers in business, politics, and the arts.
-
B.
Yen
Yen is a nimble and acrobatic member of Danny Ocean’s heist crew in the Ocean’s film series, renowned for his contortionist skills.
-
C.
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.
-
D.
Raha
Raha is a town in the Nagaon district of Assam, India, known as the birthplace of prominent Indian freedom fighter and politician Gopinath Bordoloi.
-
E.
Raha
Raha is a coastal town and administrative center located on Muna Island in Southeast Sulawesi, Indonesia.
- 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_69ca83e25418819093c6503deeaf30de |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca9d4a6e48190a55dc35a399f5f08 |
completed | April 1, 2026, 5:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d054620fbc8190b20afa6922605685 |
completed | April 3, 2026, 11:59 p.m. |
Created at: March 30, 2026, 7:21 p.m.