Triple
T14305567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jinhua |
E354684
|
entity |
| Predicate | hasFamousProduct |
P1448
|
FINISHED |
| Object | Jinhua ham |
E1090878
|
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: Jinhua ham | Statement: [Jinhua, hasFamousProduct, Jinhua ham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jinhua ham Context triple: [Jinhua, hasFamousProduct, Jinhua ham]
-
A.
Jinhua ham
chosen
Jinhua ham is a famous Chinese dry-cured ham from Zhejiang province, renowned for its rich umami flavor and use in traditional cuisine and stocks.
-
B.
Hangzhouhua
Hangzhouhua is a regional Chinese dialect spoken in and around the city of Hangzhou in Zhejiang province.
-
C.
Ningbohua
Ningbohua is a Chinese Wu dialect spoken primarily in and around the city of Ningbo in Zhejiang province.
-
D.
Zhenjiang vinegar
Zhenjiang vinegar is a famous Chinese black rice vinegar known for its rich, mellow flavor and long aging process, widely used in Jiangsu cuisine and across China.
-
E.
Yanjiao
Yanjiao is a rapidly growing commuter town in Hebei province, China, known for its proximity to Beijing and large population of daily commuters working in the capital.
- 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_69fd4684e2648190b46328252ac9d51b |
completed | May 8, 2026, 2:12 a.m. |
Created at: April 10, 2026, 1:12 a.m.