Triple
T14305552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jinhua |
E354684
|
entity |
| Predicate | hasNotableCity |
P2813
|
FINISHED |
| Object | Dongyang |
E1097236
|
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: Dongyang | Statement: [Jinhua, hasNotableCity, Dongyang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dongyang Context triple: [Jinhua, hasNotableCity, Dongyang]
-
A.
Dongyang
chosen
Dongyang is a county-level city in central Zhejiang Province, China, known for its woodcarving tradition and as part of the Jinhua metropolitan area.
-
B.
Yuchang
Yuchang is a Chinese actor and singer best known for his roles in popular youth and coming-of-age films and television dramas.
-
C.
Jian'ou
Jian'ou is a county-level city in northern Fujian Province, China, administered by the prefecture-level city of Nanping and known for its historical and cultural heritage.
-
D.
Danzhou
Danzhou is a county-level city in northwestern Hainan, China, known for its agricultural production and growing role as a regional economic center.
-
E.
Songyuan
Songyuan is a prefecture-level city in northwestern Jilin Province, China, known as an important regional hub for agriculture, petrochemicals, and transportation.
- 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_69fd94a018c88190b4fdbf36687ad973 |
completed | May 8, 2026, 7:45 a.m. |
Created at: April 10, 2026, 1:12 a.m.