Triple
T21943001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xinhui |
E541867
|
entity |
| Predicate | romanization |
P2508
|
FINISHED |
| Object | Sunwui |
—
|
NE NERFINISHED |
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: Sunwui | Statement: [Xinhui, romanization, Sunwui]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sunwui Context triple: [Xinhui, romanization, Sunwui]
-
A.
Sunwui
chosen
Sunwui is the historical English romanization of Xinhui, a district-level city in Guangdong Province, China, known for its overseas Chinese diaspora.
-
B.
Wulian
Wulian is a county-level city in eastern China’s Shandong province, known for its mountainous scenery and location on the Shandong Peninsula.
-
C.
Sui-San
Sui-San is a member of the Eternals in Marvel Comics, best known as the mother of the cosmic supervillain Thanos.
-
D.
Shenako
Shenako is a remote mountain village in Georgia’s historic Tusheti region, known for its traditional stone architecture and preserved highland culture.
-
E.
Shuqing
Shuqing is the given name of Guo Shuqing, a prominent Chinese politician and financial regulator.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c47e2e5c81909a7f74ce3de50911 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1242345dc8190aa6ddf61cf864e2d |
completed | April 28, 2026, 9:18 p.m. |
Created at: April 16, 2026, 7:56 p.m.