Triple
T2875673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beihai |
E56871
|
entity |
| Predicate | languageUsed |
P238
|
FINISHED |
| Object | Zhuang language |
E126954
|
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: Zhuang language | Statement: [Beihai, languageUsed, Zhuang language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zhuang language Context triple: [Beihai, languageUsed, Zhuang language]
-
A.
Zhuang language
chosen
The Zhuang language is a Tai-Kadai language spoken primarily by the Zhuang ethnic group in Guangxi and surrounding regions of southern China.
-
B.
Siwu language
The Siwu language is a Niger-Congo language spoken primarily in the Volta Region of Ghana by the Mawu people.
-
C.
Miao languages
The Miao languages are a group of Hmong-Mien (Miao-Yao) languages spoken primarily by the Miao people across southern China and parts of Southeast Asia.
-
D.
Kaili language
The Kaili language is an Austronesian language spoken primarily in Central Sulawesi, Indonesia, known for its multiple dialects and role as a regional lingua franca.
-
E.
Jingpo language
The Jingpo language is a Tibeto-Burman language spoken primarily by the Jingpo (Kachin) people in northern Myanmar and adjacent regions of China and India.
- 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_69ab4a4ced288190ab6d3e062d10f7f6 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abe004a64481908f1897d9054a7368 |
completed | March 7, 2026, 8:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b01dbb28588190ba2daae192744908 |
completed | March 10, 2026, 1:33 p.m. |
Created at: March 6, 2026, 10:03 p.m.