Triple
T11012479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kam language |
E260275
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Dong |
E287513
|
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: Dong | Statement: [Kam language, name, Dong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dong Context triple: [Kam language, name, Dong]
-
A.
Dong
chosen
The Dong are an ethnic minority group in China, known for their distinctive wooden architecture, polyphonic folk singing, and concentration in the mountainous regions of southern China, including Guizhou Province.
-
B.
Dongfang
Dongfang is a county-level coastal city in western Hainan Province, China, known for its tropical climate and maritime economy.
-
C.
Dongbi
Dongbi is the courtesy name of Li Shizhen, the renowned Ming dynasty physician and naturalist best known for compiling the monumental herbal pharmacopeia "Compendium of Materia Medica."
-
D.
Dongyu
Dongyu is the given name of Qu Dongyu, a Chinese agronomist and politician who has served as Director-General of the Food and Agriculture Organization of the United Nations.
-
E.
Dongsheng
Dongsheng is a Chinese given name commonly used for males.
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7978a57a881909b4ceae0ebe21b78 |
completed | April 9, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e374ac78348190a8c0a5a7a736b24b |
completed | April 18, 2026, 12:10 p.m. |
Created at: April 8, 2026, 9:25 p.m.