Triple
T20968059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chen Long |
E516421
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object | Shashi District, Jingzhou, Hubei, China |
—
|
NE NERFINISHED |
How this triple was built (3 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: Shashi District, Jingzhou, Hubei, China | Statement: [Chen Long, birthPlace, Shashi District, Jingzhou, Hubei, China]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shashi District, Jingzhou, Hubei, China Context triple: [Chen Long, birthPlace, Shashi District, Jingzhou, Hubei, China]
-
A.
Daye County, Hubei, China
Daye County in Hubei, China is a county-level area known for its long history of mining and metallurgy in eastern Hubei Province.
-
B.
Hongshan District, Wuhan
Hongshan District is a major urban district in southeastern Wuhan, China, known for its concentration of universities, research institutions, and technology-oriented development.
-
C.
Qingshan District, Wuhan
Qingshan District, Wuhan is an urban district on the Yangtze River in Wuhan, Hubei Province, known for its heavy industry and educational institutions.
-
D.
Jiang’an District, Wuhan
Jiang’an District is a central urban district of Wuhan, China, known for its historic riverfront along the Yangtze and Han rivers and its legacy as part of the former foreign concession area in Hankou.
-
E.
northwestern Hubei Province
Northwestern Hubei Province is a mountainous region of central China known for its rugged terrain, river valleys, and the Danjiangkou Reservoir, an important water source for the South–North Water Transfer Project.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shashi District, Jingzhou, Hubei, China Target entity description: Shashi District is an urban district of Jingzhou in Hubei Province, central China, known as a regional commercial and transportation hub along the Yangtze River.
-
A.
Daye County, Hubei, China
Daye County in Hubei, China is a county-level area known for its long history of mining and metallurgy in eastern Hubei Province.
-
B.
Hongshan District, Wuhan
Hongshan District is a major urban district in southeastern Wuhan, China, known for its concentration of universities, research institutions, and technology-oriented development.
-
C.
Qingshan District, Wuhan
Qingshan District, Wuhan is an urban district on the Yangtze River in Wuhan, Hubei Province, known for its heavy industry and educational institutions.
-
D.
Jiang’an District, Wuhan
Jiang’an District is a central urban district of Wuhan, China, known for its historic riverfront along the Yangtze and Han rivers and its legacy as part of the former foreign concession area in Hankou.
-
E.
northwestern Hubei Province
Northwestern Hubei Province is a mountainous region of central China known for its rugged terrain, river valleys, and the Danjiangkou Reservoir, an important water source for the South–North Water Transfer Project.
- F. None of above. chosen
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_69e0b4fde6c48190af1398e7e734629e |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fb9d6b548190af7214ad2468cfbf |
completed | April 21, 2026, 4:22 a.m. |
Created at: April 16, 2026, 1:39 p.m.