Triple
T7968283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tanka people |
E185260
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Hainan |
E37179
|
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: Hainan | Statement: [Tanka people, region, Hainan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hainan Context triple: [Tanka people, region, Hainan]
-
A.
Hainan
chosen
Hainan is a tropical island province in southern China known for its beaches, tourism, and status as a major special economic zone.
-
B.
Xingsha
Xingsha is a town in Changsha County, Hunan Province, China, known as the modern urban area closest to the famous Mawangdui Han Tombs archaeological site.
-
C.
Paiwan
The Paiwan are one of Taiwan’s major Indigenous groups, known for their hierarchical social structure, rich oral traditions, and distinctive artistic practices such as woodcarving and beadwork.
-
D.
Fujian
Fujian is a coastal province in southeastern China known for its significant role in Chinese migration, distinctive Min culture and dialects, and historic maritime trade.
-
E.
Chuansha
Chuansha is a subdistrict in Shanghai’s Pudong New Area known for its blend of traditional town features and rapidly developing urban infrastructure.
- 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_69ca8297699481909b75a405f01e03af |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3bd06ee081908c5080003fb7b8f7 |
completed | March 31, 2026, 3:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe0a334e08190ae67a9ca7b51a128 |
completed | March 31, 2026, 2:56 p.m. |
Created at: March 30, 2026, 5:13 p.m.