Triple
T689167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anhui |
E13352
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Hefei |
E17536
|
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: Hefei | Statement: [Anhui, capital, Hefei]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hefei Context triple: [Anhui, capital, Hefei]
-
A.
Hefei
chosen
Hefei is the capital and largest city of Anhui Province in eastern China, known as a major industrial, scientific, and educational center.
-
B.
Wuhu
Wuhu is a major industrial and transportation hub city in southeastern Anhui Province, eastern China, situated on the lower reaches of the Yangtze River.
-
C.
Changzhou
Changzhou is a major industrial and commercial city in Jiangsu Province, eastern China, known for its manufacturing base and location along the Yangtze River.
-
D.
Huaian
Huaian is a historic prefecture-level city in northern Jiangsu Province, China, known as the birthplace of Premier Zhou Enlai and for its Grand Canal heritage.
-
E.
Wuxi
Wuxi is a major industrial and cultural city in eastern China, located near Lake Tai and known for its manufacturing, canals, and historic gardens.
- 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_69a4933e0f98819097d22766c49b61b8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a09669e4819089753204772e1fdd |
completed | March 1, 2026, 8:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aca2caba8c81908ef693677acbd4cc |
completed | March 7, 2026, 10:12 p.m. |
Created at: March 1, 2026, 7:36 p.m.