Triple
T1743086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yunnan Province |
E38274
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Wenshan
Wenshan is a city in southwestern China known for its karst landscapes, ethnic diversity, and role as a regional center in Yunnan.
|
E210484
|
NE FINISHED |
How this triple was built (4 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: Wenshan | Statement: [Yunnan Province, containsCity, Wenshan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wenshan Context triple: [Yunnan Province, containsCity, Wenshan]
-
A.
Chuxiong
Chuxiong is a county-level city in central Yunnan Province, China, known as the seat of the Chuxiong Yi Autonomous Prefecture and for its significant Yi ethnic culture.
-
B.
Honghe
Honghe is an autonomous prefecture-level region in southern Yunnan Province, China, known for its diverse ethnic minority populations and famous terraced rice fields.
-
C.
Yuxi
Yuxi is a prefecture-level city in central Yunnan Province, China, known for its tobacco production and scenic plateau lake landscapes.
-
D.
Pu'er
Pu'er is a city in southwestern China best known as the namesake and historic production center of Pu'er tea.
-
E.
Maipo Province
Maipo Province is an administrative division in central Chile, located in the Santiago Metropolitan Region and known for its agricultural areas and proximity to the capital.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Wenshan Triple: [Yunnan Province, containsCity, Wenshan]
Generated description
Wenshan is a city in southwestern China known for its karst landscapes, ethnic diversity, and role as a regional center in Yunnan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wenshan Target entity description: Wenshan is a city in southwestern China known for its karst landscapes, ethnic diversity, and role as a regional center in Yunnan.
-
A.
Chuxiong
Chuxiong is a county-level city in central Yunnan Province, China, known as the seat of the Chuxiong Yi Autonomous Prefecture and for its significant Yi ethnic culture.
-
B.
Honghe
Honghe is an autonomous prefecture-level region in southern Yunnan Province, China, known for its diverse ethnic minority populations and famous terraced rice fields.
-
C.
Yuxi
Yuxi is a prefecture-level city in central Yunnan Province, China, known for its tobacco production and scenic plateau lake landscapes.
-
D.
Pu'er
Pu'er is a city in southwestern China best known as the namesake and historic production center of Pu'er tea.
-
E.
Maipo Province
Maipo Province is an administrative division in central Chile, located in the Santiago Metropolitan Region and known for its agricultural areas and proximity to the capital.
- F. None of above. chosen
Provenance (5 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_69a8862b01a48190ab47209063af82d9 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa63c836d48190bd44ea24977aba2d |
completed | March 6, 2026, 5:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69addf39b08881908d798b3eae51dbae |
completed | March 8, 2026, 8:42 p.m. |
| NEDg | Description generation | batch_69addfb3860481908ff4eebfa3d06fa7 |
completed | March 8, 2026, 8:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ade027072481909b707bbfc47da4de |
completed | March 8, 2026, 8:46 p.m. |
Created at: March 4, 2026, 7:31 p.m.