Triple
T22828292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cangzhou |
E565722
|
entity |
| Predicate | romanization |
P2508
|
FINISHED |
| Object | Cāngzhōu |
—
|
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: Cāngzhōu | Statement: [Cangzhou, romanization, Cāngzhōu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cāngzhōu Context triple: [Cangzhou, romanization, Cāngzhōu]
-
A.
Cāngzhōu
chosen
Cāngzhōu is a prefecture-level city in eastern Hebei Province, China, known for its historical significance, traditional martial arts heritage, and coastal location near the Bohai Sea.
-
B.
Nanzheng
Nanzheng is the historical name of Hanzhong, an ancient city in southwestern Shaanxi, China, known for its strategic location and rich cultural heritage.
-
C.
Hanzhong
Hanzhong is a historic prefecture-level city in southwestern Shaanxi, China, known as a key gateway between northern and southern China and for its rich cultural and natural landscapes.
-
D.
Langzhong
Langzhong is an ancient county-level city in Sichuan, China, renowned for its well-preserved historic old town and traditional architecture along the Jialing River.
-
E.
Yuncheng
Yuncheng is a major city in southern Shanxi Province, China, known for its historical sites and role as a regional transportation and economic hub.
- 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_69e24585ab1c81909b2b5065d15805d5 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e2914188190be6cdbd8167cd806 |
completed | April 29, 2026, 3:42 a.m. |
Created at: April 17, 2026, 3:34 p.m.