Triple
T16683589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oujiang Wu |
E405400
|
entity |
| Predicate | hasCenter |
P35
|
FINISHED |
| Object | urban Wenzhou |
E197338
|
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: urban Wenzhou | Statement: [Oujiang Wu, hasCenter, urban Wenzhou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: urban Wenzhou Context triple: [Oujiang Wu, hasCenter, urban Wenzhou]
-
A.
Wenzhou
chosen
Wenzhou is a major coastal city in southeastern Zhejiang Province, China, known for its entrepreneurial culture, export-driven economy, and large overseas Chinese community.
-
B.
Yiwu
Yiwu is a county-level city in Zhejiang Province, China, internationally known as a major hub for small commodity trade and home to one of the world’s largest wholesale markets.
-
C.
Ningbo, China
Ningbo, China is a major port city in eastern Zhejiang province known for its long maritime history and role as a key hub in regional and international trade.
-
D.
Hangzhou
Hangzhou is a major city in eastern China renowned for its historic West Lake, rich cultural heritage, and role as a key economic and technological hub in the Yangtze River Delta region.
-
E.
Wuzhen
Wuzhen is a historic water town in eastern China known for its ancient canals, traditional architecture, and cultural tourism.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37d70d3f8819087d1bd700c94a83f |
completed | April 18, 2026, 12:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a422f8c8190873fd7089df8fbd4 |
completed | May 10, 2026, 1:38 p.m. |
Created at: April 10, 2026, 5:19 a.m.