Triple
T11801466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chengdu |
E280635
|
entity |
| Predicate | pinyinName |
P9333
|
FINISHED |
| Object | Chéngdū |
E154508
|
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: Chéngdū | Statement: [Chengdu, pinyinName, Chéngdū]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chéngdū Context triple: [Chengdu, pinyinName, Chéngdū]
-
A.
Chéngdū
chosen
Chéngdū is the capital of China’s Sichuan province, known for its spicy cuisine, giant panda breeding centers, and long history as a major cultural and economic hub in western China.
-
B.
Changge City
Changge City is a county-level city in central China's Henan Province, administered by the prefecture-level city of Xuchang and known for its manufacturing and agricultural industries.
-
C.
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.
-
D.
Qiaocheng
Qiaocheng is a historical name for the area now known as Bozhou, a city in Anhui Province, China, with a long history and cultural significance.
-
E.
Zhongdu
Zhongdu was the historical capital city of the Jurchen-led Jin dynasty in northern China, located in what is now part of modern Beijing.
- 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_69d6ab258b808190b1735835c841e3a4 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5a4512c8190b7782e1dee053000 |
completed | April 10, 2026, 7:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f166dbcb848190a5942ec00a2ca2f9 |
completed | April 29, 2026, 2:03 a.m. |
Created at: April 8, 2026, 9:42 p.m.