Triple
T1851137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huanggang |
E41595
|
entity |
| Predicate | hasShortName |
P1354
|
FINISHED |
| Object | Huanggang |
E41595
|
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: Huanggang | Statement: [Huanggang, hasShortName, Huanggang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Huanggang Context triple: [Huanggang, hasShortName, Huanggang]
-
A.
Huanggang
chosen
Huanggang is a significant prefecture-level city in eastern Hubei, China, known for its long history, agricultural production, and proximity to the Yangtze River.
-
B.
Qianjiang
Qianjiang is a city in China known for its regional industry and cultural exchanges, including international town twinning partnerships.
-
C.
Fuyang
Fuyang is a major prefecture-level city in northwestern Anhui Province, China, known as a regional transportation and agricultural hub.
-
D.
Hanchuan
Hanchuan is a county-level city in central China's Hubei Province, known for its location within the fertile Jianghan Plain and its role in regional agriculture and industry.
-
E.
Suizhou
Suizhou is a county-level city in northern Hubei Province, China, known for its historical sites and role as a regional transport and economic hub.
- 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_69a8864a83848190a4ec02721306c511 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb06829b081908767b3df5524c7d4 |
completed | March 7, 2026, 4:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae030a0d3081908641c4a40e5b7700 |
completed | March 8, 2026, 11:15 p.m. |
Created at: March 4, 2026, 7:33 p.m.