Triple
T15610777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toghon Temür |
E375283
|
entity |
| Predicate | reignName |
P32785
|
FINISHED |
| Object | Zhiyuan |
E1121540
|
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: Zhiyuan | Statement: [Toghon Temür, reignName, Zhiyuan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zhiyuan Context triple: [Toghon Temür, reignName, Zhiyuan]
-
A.
Zhiyuan
Zhiyuan was a late 19th-century protected cruiser of the Qing Dynasty’s Beiyang Fleet, best known for its role and sinking in the First Sino-Japanese War.
-
B.
Zhiyuan
chosen
Zhiyuan was the reign title used during a significant period of the Yuan dynasty under Kublai Khan in imperial China.
-
C.
Zheyuan
Zheyuan is a given name most notably borne by the Chinese general and politician Song Zheyuan.
-
D.
Zhihong
Zhihong is a Chinese given name that represents an alternative romanization of the name Zhizhong.
-
E.
Yuanpei
Yuanpei is the given name of Cai Yuanpei, a prominent Chinese educator and reformer who served as president of Peking University in the early 20th 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_69d85ccf2794819096cda4cbcb02d478 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e8024948190a6c711f2e5c2aac4 |
completed | April 16, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56d76c108190aa3cae2d7e17c301 |
completed | May 9, 2026, 3:46 p.m. |
Created at: April 10, 2026, 4:13 a.m.