Triple
T8798875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kitchen God |
E209350
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Zao Wangye |
E759822
|
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: Zao Wangye | Statement: [Kitchen God, alsoKnownAs, Zao Wangye]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zao Wangye Context triple: [Kitchen God, alsoKnownAs, Zao Wangye]
-
A.
Zao Shen
chosen
Zao Shen is a household deity in Chinese folk religion and Taoism who oversees the family kitchen and reports on the household’s conduct to higher gods.
-
B.
Meidi Dadao
Meidi Dadao is a metro station in Guangzhou, China, serving as a terminus on Guangzhou Metro Line 7.
-
C.
Bishu Shanzhuang
Bishu Shanzhuang is a vast Qing dynasty imperial summer resort and palace complex in Chengde, China, renowned for its landscaped gardens, lakes, and diverse architectural styles.
-
D.
Xiadu
Xiadu was an ancient Chinese city that served as a major political and cultural center of the Warring States–period Yan kingdom.
-
E.
Zhiyan
Zhiyan was an influential Chinese Buddhist monk and early Huayan school patriarch whose teachings shaped the thought of later Korean monk Uisang.
- 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_69ca836240888190a62b262e56a69d2f |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5fb7491c8190bcdb98d6cc003d9e |
completed | March 31, 2026, 11:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf891583d48190ba276b5a1f7d6f7a |
completed | April 3, 2026, 9:32 a.m. |
Created at: March 30, 2026, 6:44 p.m.