Triple
T10198651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hmong-Mien |
E238827
|
entity |
| Predicate | includesLanguage |
P2177
|
FINISHED |
| Object | Qo Xiong |
E731627
|
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: Qo Xiong | Statement: [Hmong-Mien, includesLanguage, Qo Xiong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Qo Xiong Context triple: [Hmong-Mien, includesLanguage, Qo Xiong]
-
A.
Qo Xiong
chosen
Qo Xiong is a variety of the Miao (Hmong-Mien) language family spoken by Miao communities in parts of China.
-
B.
Xiong Lü
Xiong Lü was the personal name of King Zhuang of Chu, a prominent and powerful monarch of the ancient Chinese state of Chu during the Spring and Autumn period.
-
C.
Xiong Huai
Xiong Huai was an ancient Chinese monarch who ruled the state of Chu during the Warring States period.
-
D.
Hui Xiong
Hui Xiong is a prominent computer scientist and data mining researcher recognized for his influential contributions to knowledge discovery and data analytics.
-
E.
Xiong Yi
Xiong Yi was the legendary early ruler credited with establishing the ancient Chinese state of Chu during the Zhou dynasty.
- 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_69ca84e1ea088190b38162e43d4cfa8f |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdee3dfa108190b2888385ef96de23 |
completed | April 2, 2026, 4:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d317eca3f88190a47009be6f96977e |
completed | April 6, 2026, 2:18 a.m. |
Created at: March 30, 2026, 9:14 p.m.