Triple
T20567164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fajia |
E504993
|
entity |
| Predicate | textualTradition |
P2989
|
FINISHED |
| Object | Guanzi (Legalist sections) |
—
|
NE NERFINISHED |
How this triple was built (3 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: Guanzi (Legalist sections) | Statement: [Fajia, textualTradition, Guanzi (Legalist sections)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guanzi (Legalist sections) Context triple: [Fajia, textualTradition, Guanzi (Legalist sections)]
-
A.
Book of Lord Shang
The Book of Lord Shang is an influential ancient Chinese political treatise that systematizes Legalist doctrines of strict laws, centralized power, and state control to strengthen the ruler’s authority.
-
B.
Guoyu
Guoyu is the official standardized form of the Chinese language used in mainland China and other Chinese-speaking regions.
-
C.
Guoyu
Guoyu is an ancient Chinese historical text that records speeches and events of various states during the Spring and Autumn period.
-
D.
Mozi (book)
Mozi is an ancient Chinese philosophical text attributed to the thinker Mozi, foundational to the Mohist school and known for its advocacy of universal love, meritocracy, and practical ethics.
-
E.
Book of Zhou
The Book of Zhou is an official Chinese historical text that forms part of the Twenty-Four Histories, documenting the history of the Northern Zhou dynasty.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Guanzi (Legalist sections) Target entity description: The Guanzi (Legalist sections) are portions of the ancient Chinese text *Guanzi* that articulate key doctrines of the Legalist (Fajia) school, emphasizing state power, administrative techniques, and rule by law.
-
A.
Book of Lord Shang
The Book of Lord Shang is an influential ancient Chinese political treatise that systematizes Legalist doctrines of strict laws, centralized power, and state control to strengthen the ruler’s authority.
-
B.
Guoyu
Guoyu is the official standardized form of the Chinese language used in mainland China and other Chinese-speaking regions.
-
C.
Guoyu
Guoyu is an ancient Chinese historical text that records speeches and events of various states during the Spring and Autumn period.
-
D.
Mozi (book)
Mozi is an ancient Chinese philosophical text attributed to the thinker Mozi, foundational to the Mohist school and known for its advocacy of universal love, meritocracy, and practical ethics.
-
E.
Book of Zhou
The Book of Zhou is an official Chinese historical text that forms part of the Twenty-Four Histories, documenting the history of the Northern Zhou dynasty.
- F. None of above. chosen
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_69e0b4b6587c8190aee63dc7cff244ea |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a7a33f7c8190966da03528dfe8aa |
completed | April 20, 2026, 10:24 p.m. |
Created at: April 16, 2026, 11:39 a.m.