Triple
T21171424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yuyao |
E521698
|
entity |
| Predicate | hasNearbyCity |
P350
|
FINISHED |
| Object | Shaoxing |
—
|
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: Shaoxing | Statement: [Yuyao, hasNearbyCity, Shaoxing]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shaoxing Context triple: [Yuyao, hasNearbyCity, Shaoxing]
-
A.
Shaoxing
chosen
Shaoxing is a historic city in eastern China renowned for its canals, traditional architecture, and famous rice wine.
-
B.
Jiaxing
Jiaxing is a historic city in eastern China's Zhejiang province, best known as one of the birthplaces of the Chinese Communist Party and an important regional economic and cultural center.
-
C.
Huzhou
Huzhou is a prefecture-level city in eastern China known for its location on the southern shore of Lake Tai and its role as an important economic and cultural center in northern Zhejiang.
-
D.
Toishan
Toishan is an older English romanization of Taishan, a county-level city in Guangdong, China, historically known for its large overseas Chinese diaspora.
-
E.
Taizhou
Taizhou is a prefecture-level city in eastern China known for its historical heritage and location along the Yangtze River in Jiangsu province.
- 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_69e0b50e30748190b186824a206d39b9 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7271351f08190b609a6c280c9a02a |
completed | April 21, 2026, 7:28 a.m. |
Created at: April 16, 2026, 3 p.m.