Triple
T14305553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jinhua |
E354684
|
entity |
| Predicate | hasNotableCity |
P2813
|
FINISHED |
| Object | Yongkang |
E1098573
|
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: Yongkang | Statement: [Jinhua, hasNotableCity, Yongkang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yongkang Context triple: [Jinhua, hasNotableCity, Yongkang]
-
A.
Yongkang
chosen
Yongkang is a county-level city in Zhejiang Province, China, known as a major manufacturing hub, especially for hardware and metal products.
-
B.
Yongkang District
Yongkang District is a major suburban and industrial district of Tainan City in southern Taiwan, known for its manufacturing base and growing residential communities.
-
C.
Yueqing
Yueqing is a county-level coastal city administered by Wenzhou in Zhejiang Province, China, known for its manufacturing industry and economic vitality.
-
D.
Jinhua
Jinhua is a prefecture-level city in eastern China known for its historical sites, transportation hub role, and famous local ham products.
-
E.
Jiande
Jiande was an era name used during the Northern Qi dynasty in imperial China to designate a specific reign period.
- 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_69d8278ed42c8190b9f882dcce611347 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de85afabe48190926d6098047f4bcf |
completed | April 14, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda907abf88190b86ce65390d9ca40 |
completed | May 8, 2026, 9:12 a.m. |
Created at: April 10, 2026, 1:12 a.m.