Triple
T23350511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | G75 |
E591992
|
entity |
| Predicate | connectsCity |
P4245
|
FINISHED |
| Object | Guiyang |
—
|
NE NERFINISHED |
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: Guiyang | Statement: [G75, connectsCity, Guiyang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guiyang Context triple: [G75, connectsCity, Guiyang]
-
A.
Guiyang
chosen
Guiyang is the capital city of Guizhou Province in southwest China, known for its cool climate, karst landscapes, and role as a regional transportation and industrial hub.
-
B.
Anshun
Anshun is a prefecture-level city in southwestern China known for its karst landscapes, including the famous Huangguoshu Waterfall, and its location within Guizhou Province.
-
C.
Zunyi
Zunyi is a historically significant city in southwest China, best known as the site of the pivotal 1935 Zunyi Conference during the Long March.
-
D.
Liupanshui
Liupanshui is a major industrial and mining city in western Guizhou Province, China, known for its coal resources, cool climate, and mountainous karst landscape.
-
E.
Renhuai City
Renhuai City is a county-level city in northern Guizhou Province, China, known for its liquor industry and as the home of the famous Maotai baijiu.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e25d20e3d08190bcede87673cafb25 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19a132da08190b30de610d34c96cc |
completed | April 29, 2026, 5:41 a.m. |
Created at: April 17, 2026, 5:19 p.m.