Triple
T19619830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qingzhou |
E470971
|
entity |
| Predicate | hasChineseName |
P4878
|
FINISHED |
| Object | 青州 |
—
|
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: 青州 | Statement: [Qingzhou, hasChineseName, 青州]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 青州 Context triple: [Qingzhou, hasChineseName, 青州]
-
A.
城陽市
城陽市は、京都府南部に位置し、住宅地と農地が広がる中規模の都市です。
-
B.
Qingzhou
chosen
Qingzhou is a historic county-level city in eastern China known for its cultural heritage and location in central Shandong Province.
-
C.
Laizhou City, Yantai
Laizhou City, under the administration of Yantai in Shandong Province, is a coastal county-level city on the Shandong Peninsula known for its salt production, chemical industry, and maritime economy.
-
D.
Qixia City, Yantai
Qixia City is a county-level city under the administration of Yantai in eastern Shandong Province, China, known for its apple production and hilly, scenic landscapes.
-
E.
Weifang
Weifang is a prefecture-level city in eastern China known for its kite-making tradition and annual international kite festival.
- 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_69d8e510fa248190b7afb274a1d4cf73 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e640e512d08190a76bf81b3282e0e5 |
completed | April 20, 2026, 3:06 p.m. |
Created at: April 10, 2026, 1:43 p.m.