Triple
T7534116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yuelu District |
E178103
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Furong District |
E174487
|
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: Furong District | Statement: [Yuelu District, borders, Furong District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Furong District Context triple: [Yuelu District, borders, Furong District]
-
A.
Furong District
chosen
Furong District is a central urban district of Changsha, the capital city of Hunan Province in China, known for its commercial activity and administrative importance.
-
B.
Dongxihu District
Dongxihu District is an urban district of Wuhan in Hubei Province, China, known for its mix of industrial zones, residential areas, and transportation infrastructure.
-
C.
Xiangfang District
Xiangfang District is an urban district of Harbin in Heilongjiang Province, China, known for its industrial base and role in the city's economic development.
-
D.
Wanhua District
Wanhua District is one of Taipei’s oldest urban areas, known for its historic temples, traditional markets, and the popular shopping and entertainment area of Ximending.
-
E.
Qingshan District
Qingshan District is an urban district of Wuhan in Hubei Province, China, known for its heavy industry and riverside location along the Yangtze River.
- 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_69c69f2acdbc8190b5a8320168c1d0ba |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f84a9d28819084ebfc44fcb2c29c |
completed | March 27, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c9742fd0dc8190a154cf83c87eb508 |
completed | March 29, 2026, 6:49 p.m. |
Created at: March 27, 2026, 3:47 p.m.